[1]
|
Exploratory Mapping of Blue Ice Regions in Antarctica Using Very High-Resolution Satellite Remote Sensing Data
Remote Sensing,
2023
DOI:10.3390/rs15051287
|
|
|
[2]
|
Performance evaluation of pansharpening Sentinel 2A imagery for informal settlement identification by spectral-textural features
Transactions of the Royal Society of South Africa,
2022
DOI:10.1080/0035919X.2022.2144538
|
|
|
[3]
|
Contrast stretching based pansharpening by using weighted differential evolution algorithm
Expert Systems with Applications,
2022
DOI:10.1016/j.eswa.2022.118144
|
|
|
[4]
|
No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations
Remote Sensing,
2022
DOI:10.3390/rs14051119
|
|
|
[5]
|
Performance Evaluation of Multiple Pan-Sharpening Techniques on NDVI: A Statistical Framework
Geographies,
2022
DOI:10.3390/geographies2030027
|
|
|
[6]
|
Contrast stretching based pansharpening by using weighted differential evolution algorithm
Expert Systems with Applications,
2022
DOI:10.1016/j.eswa.2022.118144
|
|
|
[7]
|
Histogram modification based pansharpening by using differential evolution algorithm
Concurrency and Computation: Practice and Experience,
2022
DOI:10.1002/cpe.7335
|
|
|
[8]
|
Optimizing energy dispersive X-Ray Spectroscopy (EDS) image fusion to Scanning Electron Microscopy (SEM) images
Micron,
2022
DOI:10.1016/j.micron.2022.103361
|
|
|
[9]
|
Performance evaluation of pansharpening Sentinel 2A imagery for informal settlement identification by spectral-textural features
Transactions of the Royal Society of South Africa,
2022
DOI:10.1080/0035919X.2022.2144538
|
|
|
[10]
|
Optimizing energy dispersive X-Ray Spectroscopy (EDS) image fusion to Scanning Electron Microscopy (SEM) images
Micron,
2022
DOI:10.1016/j.micron.2022.103361
|
|
|
[11]
|
Hyperspectral Image Classification Based on Superpixel Pooling Convolutional Neural Network with Transfer Learning
Remote Sensing,
2021
DOI:10.3390/rs13050930
|
|
|
[12]
|
Image Pan-Sharpening and Sub-pixel Classification Enabled Building Detection in Strategically Challenged Forest Neighborhood Environment
Journal of the Indian Society of Remote Sensing,
2021
DOI:10.1007/s12524-021-01380-z
|
|
|
[13]
|
Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery
ISPRS Journal of Photogrammetry and Remote Sensing,
2020
DOI:10.1016/j.isprsjprs.2020.04.017
|
|
|
[14]
|
Effect of Image Fusion on Vegetation Index Quality—A Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery
Remote Sensing,
2020
DOI:10.3390/rs12101550
|
|
|
[15]
|
Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery
Applied Sciences,
2020
DOI:10.3390/app10113673
|
|
|
[16]
|
fusionImage: An R package for pan‐sharpening images in open source software
Transactions in GIS,
2020
DOI:10.1111/tgis.12676
|
|
|
[17]
|
Estimation of Landslides and Road Capacity after August 8, 2017, MS7.0 Jiuzhaigou Earthquake Using High-Resolution Remote Sensing Images
Advances in Civil Engineering,
2020
DOI:10.1155/2020/8828385
|
|
|
[18]
|
Quality assessment of fusing Sentinel-2 and WorldView-4 imagery on Sentinel-2 spectral band values: a case study of Zagreb, Croatia
International Journal of Image and Data Fusion,
2020
DOI:10.1080/19479832.2019.1683624
|
|
|
[19]
|
fusionImage: An R package for pan‐sharpening images in open source software
Transactions in GIS,
2020
DOI:10.1111/tgis.12676
|
|
|
[20]
|
Geospatial Assessment of Flood Hazard Along the Tamil Nadu Coast
Journal of the Indian Society of Remote Sensing,
2019
DOI:10.1007/s12524-019-01012-7
|
|
|
[21]
|
An effective approach to selecting the appropriate pan-sharpening method in digital change detection of natural ecosystems
Ecological Informatics,
2019
DOI:10.1016/j.ecoinf.2019.100984
|
|
|
[22]
|
Semiautomated Detection and Mapping of Vegetation Distribution in the Antarctic Environment Using Spatial-Spectral Characteristics of WorldView-2 Imagery
Remote Sensing,
2019
DOI:10.3390/rs11161909
|
|
|
[23]
|
Image Fusion of SAR and Optical Images for Identifying Antarctic Ice Features
Journal of the Indian Society of Remote Sensing,
2019
DOI:10.1007/s12524-019-01040-3
|
|
|
[24]
|
Mapping Rice Fields in Urban Shanghai, Southeast China, Using Sentinel-1A and Landsat 8 Datasets
Remote Sensing,
2017
DOI:10.3390/rs9030257
|
|
|
[25]
|
Mapping Torreya grandis Spatial Distribution Using High Spatial Resolution Satellite Imagery with the Expert Rules-Based Approach
Remote Sensing,
2017
DOI:10.3390/rs9060564
|
|
|
[26]
|
Automatic super-resolution shoreline change monitoring using Landsat archival data: a case study at Narrabeen–Collaroy Beach, Australia
Journal of Applied Remote Sensing,
2017
DOI:10.1117/1.JRS.11.016036
|
|
|
[27]
|
A comparative analysis of pansharpening techniques on QuickBird and WorldView-3 images
Geocarto International,
2017
DOI:10.1080/10106049.2016.1206627
|
|
|
[28]
|
Assessing the structure of primeval and managed beech forests in the Ukrainian Carpathians using remote sensing
Canadian Journal of Forest Research,
2017
DOI:10.1139/cjfr-2016-0253
|
|
|
[29]
|
A Strategy of Rapid Extraction of Built-Up Area Using Multi-Seasonal Landsat-8 Thermal Infrared Band 10 Images
Remote Sensing,
2017
DOI:10.3390/rs9111126
|
|
|
[30]
|
Comprehensive evaluation for fused images of multispectral and panchromatic images based on entropy weight method
Applications of Digital Image Processing XXXIX,
2016
DOI:10.1117/12.2239521
|
|
|
[31]
|
Exploratory normalized difference water indices for semi-automated extraction of Antarctic lake features
Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges,
2016
DOI:10.1117/12.2222766
|
|
|
[32]
|
Multisource classification and pattern recognition methods for polar geospatial information mining using WorldView-2 data
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI,
2016
DOI:10.1117/12.2222984
|
|
|
[33]
|
Semi-automatic extraction of supra-glacial features using fuzzy logic approach for object-oriented classification on WorldView-2 imagery
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI,
2016
DOI:10.1117/12.2223024
|
|
|
[34]
|
Geospatial mapping of Antarctic coastal oasis using geographic object-based image analysis and high resolution satellite imagery
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI,
2016
DOI:10.1117/12.2222767
|
|
|
[35]
|
Geospatial mapping of vegetation in the Antarctic environment using very high-resolution WorldView-2 imagery
Land Surface and Cryosphere Remote Sensing III,
2016
DOI:10.1117/12.2222751
|
|
|
[36]
|
Application of high-resolution multispectral data for mapping blue ice areas in the Antarctic environment
Land Surface and Cryosphere Remote Sensing III,
2016
DOI:10.1117/12.2222770
|
|
|
[37]
|
Object-oriented feature extraction approach for mapping supraglacial debris in Schirmacher Oasis using very high-resolution satellite data
Land Surface and Cryosphere Remote Sensing III,
2016
DOI:10.1117/12.2223012
|
|
|
[38]
|
Optical Remote Sensing of Land Surface
2016
DOI:10.1016/B978-1-78548-102-4.50002-8
|
|
|
[39]
|
Remote Sensing Image Fusion
2016
DOI:10.1201/9781315370101-4
|
|
|
[40]
|
Remote Sensing Image Fusion
2016
DOI:10.1201/9781315370101-6
|
|
|
[41]
|
Agricultural fields classification in semi-arid central Tunisia using SPOT 7 image
2016 4th International Conference on Control Engineering & Information Technology (CEIT),
2016
DOI:10.1109/CEIT.2016.7929023
|
|
|
[42]
|
Pan-sharpening quality investigation of PLÉIADES-1A images
Geocarto International,
2016
DOI:10.1080/10106049.2015.1094520
|
|
|
[43]
|
The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI
Remote Sensing,
2015
DOI:10.3390/rs71012737
|
|
|
[44]
|
Spectral Information Analysis for the Semiautomatic Derivation of Shallow Lake Bathymetry Using High-resolution Multispectral Imagery: A Case Study of Antarctic Coastal Oasis
Aquatic Procedia,
2015
DOI:10.1016/j.aqpro.2015.02.173
|
|
|
[45]
|
A Review of Quality Metrics for Fused Image
Aquatic Procedia,
2015
DOI:10.1016/j.aqpro.2015.02.019
|
|
|
[46]
|
Iterative Spectral Index Ratio Exploration for Object-based Image Analysis of Antarctic Coastal Oasis Using High Resolution Satellite Remote Sensing Data
Aquatic Procedia,
2015
DOI:10.1016/j.aqpro.2015.02.022
|
|
|
[47]
|
A Rapid Extraction of Water Body Features from Antarctic Coastal Oasis Using Very High-Resolution Satellite Remote Sensing Data
Aquatic Procedia,
2015
DOI:10.1016/j.aqpro.2015.02.018
|
|
|
[48]
|
A Synoptic Review on Deriving Bathymetry Information Using Remote Sensing Technologies: Models, Methods and Comparisons
Advances in Remote Sensing,
2015
DOI:10.4236/ars.2015.42013
|
|
|
[49]
|
A Review on Extraction of Lakes from Remotely Sensed Optical Satellite Data with a Special Focus on Cryospheric Lakes
Advances in Remote Sensing,
2015
DOI:10.4236/ars.2015.43016
|
|
|
[50]
|
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
Advances in Remote Sensing,
2015
DOI:10.4236/ars.2015.43015
|
|
|
[51]
|
A Parallel Computing Paradigm for Pan-Sharpening Algorithms of Remotely Sensed Images on a Multi-Core Computer
Remote Sensing,
2014
DOI:10.3390/rs6076039
|
|
|
[52]
|
Built-up area extraction using Landsat 8 OLI imagery
GIScience & Remote Sensing,
2014
DOI:10.1080/15481603.2014.939539
|
|
|