An end-user-oriented framework for the classification of multitemporal SAR images
Author:
Affiliation:
1. Department of Electrical Engineering and Information Technology, University of Napoli Federico II, Naples, Italy
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1125550
Reference16 articles.
1. A New Framework for SAR Multitemporal Data RGB Representation: Rationale and Products
2. Effectiveness of high-resolution SAR for water resource management in low-income semi-arid countries
3. An advanced system for the automatic classification of multitemporal SAR images
4. Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection
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