Learning vector quantization neural network for surface water extraction from Landsat OLI images
Author:
Affiliation:
1. Institute of Remote Sensing and Digital Earth
2. Institute of Geographic Sciences and Natural Resources Research
3. China-Sri Lanka Joint Research and Demonstration Ctr. for Water Technology
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference52 articles.
1. Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review
2. Application and comparison of advanced supervised classifiers in extraction of water bodies from remote sensing images
3. An approach to multi-temporal MODIS image analysis using image classification and segmentation
4. Recognition of water bodies from remotely sensed imagery by using neural network;Wang,2010
5. Dynamic Change Analysis of Surface Water in the Yangtze River Basin Based on MODIS Products
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