Detection of engineered surfaces using deep learning approach in AVIRIS-NG hyperspectral data
Author:
Affiliation:
1. Information Technology, Delhi Technological University, Delhi, India
2. Multidisciplinary Centre for Geoinformatics, Delhi Technological University, Delhi, India
Funder
Defence Research and Development Organization (DRDO
Department of Science and Technology (DST).
ISRO (Indian Space and Research Organization
Ministry of Science & Technology, Department of Science and Technology
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1953616
Reference70 articles.
1. Mapping urban land cover based on spatial-spectral classification of hyperspectral remote-sensing data
2. Hyperspectral field estimation and remote-sensing inversion of salt content in coastal saline soils of the Yellow River Delta
3. Classification of hyperspectral data from urban areas based on extended morphological profiles
4. Big data processing using hpc for remote sensing disaster data
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