Performance evaluation and comparative assessment of Sentinel-2B, Landsat-8, and AVIRIS-NG sensor imageries for extraction of road and roof surfaces using different algorithms
Author:
Affiliation:
1. Delhi Technological Univ.
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference19 articles.
1. Developing remote sensing methodology to distinguish urban built-up areas and bare land in Mafikeng town, South Africa
2. Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis
3. A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery
4. Analysis of Impervious Surface and its Impact on Urban Heat Environment using the Normalized Difference Impervious Surface Index (NDISI)
5. Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates
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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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