Automated Determination of Normalized Indices Useful for Glacier Surface Classification
Author:
Affiliation:
1. The University of Tokyo,Department of Electrical Engineering and Information Systems,Tokyo,Japan,113-8656
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281784.pdf?arnumber=10281784
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1. Neural Network Model for Multi-Sensor Fusion and Inverse Mapping Dynamics for the Analysis of Significant Factors
2. Sedimentological, geomorphological and dynamic context of debris-mantled glaciers, Mount Everest (Sagarmatha) region, Nepal
3. Remote sensing based assessment of hazards from glacier lake outbursts: a case study in the Swiss Alps
4. Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data
5. Neural Network Fusion Processing and Inverse Mapping to Combine Multisensor Satellite Data and Analyze the Prominent Features
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1. Fusion of ALOS-2/PALSAR-2 and Sentinel-1 Polarimetric Imagery with Explainable Neural Network-based Confidence Level Estimation for Glacier Surface Classification;2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR);2023-10-23
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