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[1]
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Pansharpening of remote sensing images using dominant pixels
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Expert Systems with Applications,
2024 |
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[2]
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Image Quality Assessment of Multi-Satellite Pan-Sharpening Approach: A Case Study using Sentinel-2 Synthetic Panchromatic Image and Landsat-8
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… on Scalable Information …,
2024 |
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[3]
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Comparing Pan-Sharpening Algorithms to Access an Agriculture Area: A Mississippi Case Study
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Agricultural Sciences,
2023 |
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[4]
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Using satellite-derived bathymetry (SDB) to visualize bathymetric change over time in the Stono River Inlet, South Carolina
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2023 |
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[5]
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Exploratory mapping of blue ice regions in Antarctica using very high-resolution satellite remote sensing data
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Remote Sensing,
2023 |
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[6]
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Contrast stretching based pansharpening by using weighted differential evolution algorithm
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Expert Systems with Applications,
2022 |
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[7]
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Performance evaluation of pansharpening Sentinel 2A imagery for informal settlement identification by spectral-textural features
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… of the Royal Society of South …,
2022 |
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[8]
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No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations
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Remote Sensing,
2022 |
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[9]
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Adopting Gram-Schmidt and Brovey Methods for Estimating Land Use and Land Cover Using Remote Sensing and Satellite Images
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Nature Environment and Pollution …,
2022 |
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[10]
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Histogram modification based pansharpening by using differential evolution algorithm
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Concurrency and Computation: Practice and …,
2022 |
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[11]
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Performance Evaluation of Multiple Pan-Sharpening Techniques on NDVI: A Statistical Framework
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Geographies,
2022 |
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[12]
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Integrating texture analysis and innovative modelling approaches for capturing morphological diversities and dynamics of informal settlements in Durban …
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2022 |
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[13]
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Impervious Surface Probability Distribution Mapping of Kathmandu Valley
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2021 |
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[14]
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Satellite-image fusion using Brovey transform and spectral richness calibration on heterogeneous computing CPU/GPU
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Investigación e Innovación …,
2021 |
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[15]
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Fusión de imágenes satelitales usando la transformada de Brovey y enriquecimiento espectral sobre computación heterogénea CPU/GPU
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… e Innovación en …,
2021 |
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[16]
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Hyperspectral image classification based on superpixel pooling convolutional neural network with transfer learning
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2021 |
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[17]
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Image Pan-Sharpening and Sub-pixel Classification Enabled Building Detection in Strategically Challenged Forest Neighborhood Environment
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2021 |
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[18]
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Fusión de imágenes satelitales usando la trasformada de Brovey y enriquecimiento espectral sobre computación heterogénea CPU/GPU
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2021 |
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[19]
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Exploring the use of neural networks for object instance detection below the pixel resolution level
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2020 |
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[20]
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Estimation of Landslides and Road Capacity after August 8, 2017, MS7. 0 Jiuzhaigou Earthquake Using High-Resolution Remote Sensing Images
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2020 |
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[21]
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Mapping the condition of macadamia tree crops using multi-spectral uav and worldview-3 imagery
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2020 |
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[22]
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GORS 15 (1) 2020 Land use cover mapping of Wadi Kaerbet Mleeha (Hasakeh) using Remote Sensing and GIS
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2020 |
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[23]
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LAND USE/COVER CHANGE IN DINEVAR RURAL AREA OF WEST IRAN DURING 2000-2018 AND ITS PREDICTION FOR 2024 AND 2030
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2020 |
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[24]
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fusionImage: An R package for pan‐sharpening images in open source software
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2020 |
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[25]
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Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery
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2020 |
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[26]
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Effect of Image Fusion on Vegetation Index Quality—A Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery
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2020 |
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[27]
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Land use/cover change in Dinevar rural area of West Iran during 2000–2018 and its prediction for 2024 and 2030
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Geogr …,
2020 |
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[28]
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Olive Tree Classification and Inventory with Medium Resolution Multi-spectral Satellite Imagery
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Perez, M Allani, F Guedri… - Space Fostering African …,
2020 |
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[29]
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Assessment of Suitable Image Fusion Method for CARTOSAT-2E Satellite Urban Imagery for Automatic Feature Extraction
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Adv. Model. Anal. B,
2020 |
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[30]
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Potential Evaluation of SMA and NSMA Methods Implementation to Extract Sub-pixel Impervious Surfaces from Landsat 8 Imagery (OLI),(Case Study: Sari)
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Geographic …,
2019 |
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[31]
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Quality assessment of fusing Sentinel-2 and WorldView-4 imagery on Sentinel-2 spectral band values: a case study of Zagreb, Croatia
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2019 |
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[32]
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ارزیابی پتانسیل اجرای روش های SMA و NSMA بر روی تصاویر لندست 8 (OLI) جهت استخراج زیر پیکسل سطوح نفوذناپذیر (مطالعه موردی: شهر ساری)
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2019 |
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[33]
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Semiautomated Detection and Mapping of Vegetation Distribution in the Antarctic Environment Using Spatial-Spectral Characteristics of WorldView-2 Imagery
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2019 |
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[34]
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Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features
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Journal of the Indian Society of Remote Sensing,
2019 |
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[35]
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Geospatial Assessment of Flood Hazard Along the Tamil Nadu Coast
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Journal of the Indian Society of Remote Sensing,
2019 |
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[36]
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An effective approach to selecting the appropriate pan-sharpening method in digital change detection of natural ecosystems
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2019 |
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[37]
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Sentinel-2 Pan Sharpening—Comparative Analysis
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Proceedings,
2018 |
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[38]
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BATHYMETRY FROM WORLDVIEW-3 SATELLITE DATA USING RADIOMETRIC BAND RATIO
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2018 |
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[39]
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Алгоритм построения цифровой модели поверхности по данным космической сте-реосъемки
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2018 |
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[40]
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Алгоритм построения цифровой модели поверхности по данным космической стереосъемки
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2018 |
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[41]
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Effect of Pansharpening on Built-up Index NDBI Using Landsat 8 Satelitte Imagery in Pontianak City
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Seminar Nasional Penginderaan Jauh ke-4 Tahun,
2017 |
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[42]
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基于高分辨率影像的九寨沟 7.0 级地震道路震害评估
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2017 |
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[43]
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Investigating the influence of image resolution on longleaf pine identification in multispectral satellite data
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ProQuest Dissertations Publishing,
2017 |
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[44]
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Pengaruh Pansharpening Terhadap Indeks Lahan Terbangun NDBI Menggunakan Citra Satelit Landsat 8 di Kota Pontianak Effect of Pansharpening On Built-up Index NDBI Using Landsat 8 Satelitte Imagery In Pontianak City
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2017 |
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[45]
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Pengaruh Pansharpening Terhadap Indeks Lahan Terbangun NDBI Menggunakan Citra Satelit Landsat 8 di Kota Pontianak
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Seminar Nasional Penginderaan Jauh ke-4 Tahun 2017,
2017 |
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[46]
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Hybrid spectral CT reconstruction
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PLOS ONE,
2017 |
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[47]
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Multispectral Satellite Image Processing
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Optical Remote Sensing of Land Surface,
2017 |
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[48]
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A Strategy of Rapid Extraction of Built-Up Area Using Multi-Seasonal Landsat-8 Thermal Infrared Band 10 Images
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Remote Sensing,
2017 |
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[49]
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Mapping Rice Fields in Urban Shanghai, Southeast China, Using Sentinel-1A and Landsat 8 Datasets
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Remote Sensing,
2017 |
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[50]
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Automatic super-resolution shoreline change monitoring using Landsat archival data: a case study at Narrabeen–Collaroy Beach, Australia
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2017 |
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[51]
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Fonksiyonel Ağaçlar ile Obje-Tabanlı Sınıflandırma: WorldView-2 Uydu Görüntüsü Örneği
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2017 |
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[52]
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Mapping Torreya grandis Spatial Distribution Using High Spatial Resolution Satellite Imagery with the Expert Rules-Based Approach
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Remote Sensing,
2017 |
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[53]
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EVALUATION OF SPOT-5 IMAGE FUSION USING MODIFIED PAN-SHARPENING METHODS
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2017 |
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[54]
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Remote Sensing of Wildland Bushfire Fuels in the Royal National Park, NSW
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2017 |
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[55]
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Coastal change monitoring with multispectral satellite images
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2017 |
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[56]
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Merging SAR and Egyptsat Images for Improvement Roads Network Extraction
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Engineering Research Journal,
2016 |
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[57]
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Agricultural fields classification in semi-arid central Tunisia using SPOT 7 image
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2016 |
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[58]
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Multisource classification and pattern recognition methods for polar geospatial information mining using WorldView-2 data
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[59]
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Geospatial mapping of vegetation in the Antarctic environment using very high-resolution WorldView-2 imagery
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[60]
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Application of high-resolution multispectral data for mapping blue ice areas in the Antarctic environment
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[61]
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Groundwater response to the 2014 pulse flow in the Colorado River Delta
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Ecological Engineering,
2016 |
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[62]
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Comprehensive evaluation for fused images of multispectral and panchromatic images based on entropy weight method
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2016 |
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[63]
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A history of the 2014 Minute 319 environmental pulse flow as documented by field measurements and satellite imagery
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Ecological Engineering,
2016 |
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[64]
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Assessing the structure of primeval and managed beech forests in the Ukrainian Carpathians using remote sensing
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Canadian Journal of Forest Research,
2016 |
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[65]
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Semi-automatic extraction of supra-glacial features using fuzzy logic approach for object-oriented classification on WorldView-2 imagery
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[66]
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Multisource classification and pattern recognition methods for polar geospatial information extraction using WorldView-2 data
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[67]
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Geospatial mapping of Antarctic coastal oasis using geographic object-based image analysis and high resolution satellite imagery
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[68]
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Exploratory normalized difference water indices for semi-automated extraction of Antarctic lake features
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[69]
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Very High Resolution Optical Satellites: An Overview of the Most Commonly used
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American Journal of Applied Sciences,
2016 |
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[70]
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Object-oriented feature extraction approach for mapping supraglacial debris in Schirmacher Oasis using very high-resolution satellite data
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SPIE Asia-Pacific Remote Sensing,
2016 |
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[71]
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A Modified and Enhanced Normalized built-up Index using Multispectral and Thermal Bands
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2016 |
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[72]
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Impact analysis of pansharpening Landsat ETM+, Landsat OLI, WorldView-2, and Ikonos images on vegetation indices
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2016 |
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[73]
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A comparative analysis of pansharpening techniques on QuickBird and WorldView-3 images
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Geocarto International,
2016 |
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[74]
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Object-oriented feature extraction approach for mapping supraglacial debris in Schirmacher Oasis using very high resolution satellite data
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2016 |
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[75]
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Создание цифровой модели местности по данным космической стереосъемки
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2016 |
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[76]
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Semi-automatic extraction of supra-glacial features using fuzzy logic approach for object oriented classification on WorldView-2 imagery
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2016 |
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[77]
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Remote sensing image fusion: A practical guide
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2016 |
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[78]
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A comprehensive review on pixel oriented and object oriented methods for information extraction from remotely sensed satellite images with a special …
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2015 |
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[79]
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Spectral information analysis for the semiautomatic derivation of shallow lake bathymetry using high-resolution multispectral imagery: A case study of Antarctic coastal …
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2015 |
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[80]
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Development of a fusion approach selection tool
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The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,
2015 |
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[81]
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A comprehensive review on geospatial applications to life sciences
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Proceedingsof National Seminar on Advances in Lfe Sciences in Botany,
2015 |
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[82]
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A Comprehensive Review on Pixel Oriented and Object Oriented Methods for Information Extraction from Remotely Sensed Satellite Images with a Special Emphasis on Cryospheric Applications
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Advances in Remote Sensing,
2015 |
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[83]
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Spectral information analysis for the semiautomatic derivation of shallow lake bathymetry using high-resolution multispectral imagery: A case study of Antarctic …
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2015 |
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[84]
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Spectral information analysis for the semiautomatic derivation of shallow lake bathymetry using high-resolution multispectral imagery: A case study of Antarctic …
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Aquatic Procedia,
2015 |
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[85]
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Iterative spectral index ratio exploration for object-based image analysis of Antarctic coastal oasis using high resolution satellite remote sensing data
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Aquatic Procedia,
2015 |
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[86]
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Implementación en grass-gis de técnicas de fusión de imágenes digitales
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2015 |
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[87]
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A Synoptic Review on Deriving Bathymetry Information Using Remote Sensing Technologies: Models, Methods and Comparisons
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Advances in Remote Sensing,
2015 |
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[88]
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The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI
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Remote Sensing,
2015 |
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[89]
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A Comprehensive Review on Pixel Oriented and Object Oriented Methods for Information Extraction from Remotely Sensed Satellite Images with a Special Emphasis on Cryospheric Applications
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Advances in Remote Sensing,
2015 |
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[90]
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Pan-Sharpening Quality Investigation of PLÉIADES-1A Images
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Geocarto International,
2015 |
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[91]
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A Review on Extraction of Lakes from Remotely Sensed Optical Satellite Data with a Special Focus on Cryospheric Lakes
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Advances in Remote Sensing,
2015 |
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[92]
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The Use of Logistic Model Tree (LMT) for Pixel-and Object-Based Classifications Using High Resolution WorldView-2 Imagery
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Geocarto International,
2015 |
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[93]
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A review of quality metrics for fused image
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Aquatic Procedia,
2015 |
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[94]
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A rapid extraction of water body features from antarctic coastal oasis using very high-resolution satellite remote sensing data
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Aquatic Procedia,
2015 |
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[95]
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Поиск возможностей повышения отношения сигнал-шум при комплексировании сигналов узкоспектральных и панхроматических каналов
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2015 |
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[96]
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Airborne LIDAR and high resolution satellite data for rapid 3D feature extraction
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The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,
2014 |
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[97]
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Enhanced Urban Landcover Classification for Operational Change Detection Study Using Very High Resolution Remote Sensing Data
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The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,
2014 |
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[98]
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A Parallel Computing Paradigm for Pan-Sharpening Algorithms of Remotely Sensed Images on a Multi-Core Computer
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Remote Sensing,
2014 |
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[99]
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Built-up area extraction using Landsat 8 OLI imagery
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GIScience & Remote Sensing,
2014 |
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[100]
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PLÉIDAS-1A GÖRÜNTÜLERİNİN PAN-SHARPENING PERFORMANSININ İNCELENMESİ
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2014 |
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[101]
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Validation of High-Density Airborne LiDAR-Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data
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Advances in Remote Sensing,
2013 |
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[102]
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An examination of the effect of ikonos pan-sharpening in burned area mapping accuracy
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2013 |
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[103]
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Assessment of Suitable Image Fusion Method for CARTOSAT-2E Satellite Urban Imagery for Automatic Feature Extraction Assessment of Suitable Image …
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VGK Pendyala, HK Kalluri
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[104]
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Pengaruh Pansharpening Terhadap Indeks Lahan Terbangun NDBI Menggunakan Citra Satelit Landsat 8 di Kota Pontianak Effect of Pansharpening On …
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