Feature identification and extraction of urban built-up surfaces and materials in AVIRIS-NG hyperspectral imagery
Author:
Affiliation:
1. Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India
2. Department of Civil Engineering, Delhi Technological University, Delhi, India
Funder
Department of Science and Technology (DST), Ministry of Science and Technology, India and Space Application Centre (SAC), Indian Space Research Organization
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1797187
Reference46 articles.
1. Comparison of multisource image fusion methods and land cover classification
2. Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area
3. A Modified and Enhanced Normalized built-up Index using Multispectral and Thermal Bands
4. Built-up area extraction using Landsat 8 OLI imagery
5. A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery
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1. Machine Learning-Based Handling of Geospatial Big Data From Hyperspectral Sensors for Urban Area Characterization;Advances in Geospatial Technologies;2023-04-07
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