Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org
"Development of a Generic Model for the Detection of Roof Materials Based on an Object-Based Approach Using WorldView-2 Satellite Imagery"
written by Ebrahim Taherzadeh, Helmi Z. M. Shafri,
published by Advances in Remote Sensing, Vol.2 No.4, 2013
has been cited by the following article(s):
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[1] The potential of remote sensing and GIS in urban building energy modelling
Energy and Built Environment, 2023
[2] Artificial Intelligence for the Detection of Asbestos Cement Roofing: An Investigation of Multi-Spectral Satellite Imagery and High-Resolution Aerial Imagery
Sustainability, 2023
[3] Mapping Roofing with Asbestos-Containing Material by Using Remote Sensing Imagery and Machine Learning-Based Image Classification: A State-of-the-Art Review
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[4] Implementation and application of an urban pollutant load modelling tool within an ecosystem services assessment modelling framework to assess water purification …
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[5] Utilization of Band Combination for Feature Selection in Machine Learning-Based Roof Material Types Identification
… Journal on Advanced …, 2021
[6] Roof materials identification based on pleiades spectral responses using supervised classification
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[7] CNN Algorithm for Roof Detection and Material Classification in Satellite Images
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[8] Spectral index to improve the extraction of built-up area from WorldView-2 imagery
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[9] Earthquake aftermath from very high-resolution WorldView-2 image and semi-automated object-based image analysis (case study: kermanshah, sarpol-e zahab, Iran)
Remote Sensing, 2021
[10] Roof Materials Identification Based on Pleiades Spectral Responses Using Specular Correction
2020
[11] Fusion of multispectral imagery and LiDAR data for roofing materials and roofing surface conditions assessment
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[12] Investigating Photovoltaic Solar Power Production Using Remote Sensing Technology
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[13] Spatio-statistical optimization of image segmentation process for building footprint extraction using very high-resolution WorldView 3 satellite data
2019
[14] A QGIS Tool for Automatically Identifying Asbestos Roofing
2019
[15] Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality
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[16] Identification of roofing materials with Discriminant Function Analysis and Random Forest classifiers on pan-sharpened WorldView-2 imagery–a comparison
2018
[17] SPECTRAL DISCRIMINATION AND INDEX DEVELOPMENT OF ROOFING MATERIALS AND CONDITIONS USING FIELD SPECTROSCOPY AND …
2016
[18] Дахи із сучасних матеріалів як маркер модернізаційного впливу міста на приміську зону (приклад Вінниці)
2016
[19] Integrated approach using data mining-based decision tree and object-based image analysis for high-resolution urban mapping of WorldView-2 satellite sensor data
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[20] Development of spectral indices for roofing material condition status detection using field spectroscopy and WorldView-3 data
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[21] Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery
Physiotherapy Theory and Practice, 2016
[22] New semi-automated mapping of asbestos cement roofs using rule-based object-based image analysis and Taguchi optimization technique from WorldView-2 images
Historical Biology, 2016
[23] Assessing the Potential of Low-Impact Development Techniques on Runoff and Streamflow in the Templeton Gap Watershed, Colorado
The Professional Geographer, 2016
[24] Spectral feature selection and classification of roofing materials using field spectroscopy data
Journal of Applied Remote Sensing, 2015
[25] Detailed intra-urban mapping through transferable OBIA rule sets using WorldView-2 very-high-resolution satellite images
International Journal of Remote Sensing, 2015
[26] Roof Material Detection Based on Object-Based Approach Using WorldView-2 Satellite Imagery
International Journal of Environmental and Ecological Engineering, 2014
[27] Development of transferable rule-sets for urban areas using QuickBird satellite imagery
Aerospace Electronics and Remote Sensing Technology (ICARES), 2014 IEEE International Conference on, 2014
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