Efficient Use of Interferometric Coherence for Improvement in Classification of Urban and Tall Vegetation with SAR Data
Author:
Affiliation:
1. Indian Institute of Technology Roorkee,Department of Electronics and Communication Engineering,Roorkee,India,247667
2. Vellore Institute of Technology,School of Computer Science and Engineering,Vellore,India,632014
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883895.pdf?arnumber=9883895
Reference6 articles.
1. Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping
2. Permuted Spectral and Permuted Spectral-Spatial CNN Models for PolSAR-Multispectral Data based Land Cover Classification
3. Synthetic aperture radar interferometry
4. Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers
5. A critical analysis of polarimetrie signatures on PALSAR 2 data for land cover classification
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1. Critical Analysis of Machine Learning Technique for Discriminating the Similar Vegetation Pattern;2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM);2023-08-26
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