Paper
29 December 2008 Retrieving vegetation cover by using BP neural network based on Beijing-1 microsatellite data
Tao Chen, Ping-Xiang Li, Liang-pei Zhang
Author Affiliations +
Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72850O (2008) https://doi.org/10.1117/12.812495
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
This paper presents a BP neural network method to retrieve vegetation cover of the Drainage basin of Miyun Reservoir based on the new remote sensing data - Beijing-1 microsatellite data. And the retrieval result was compared with the one retrieved by the traditional methods. The compared results showed that for vegetation cover retrieval in mountainous areas, neural network has the advantage of precise simulation of non-linear transmission over traditional methods, especially for mountainous vegetation cover retrieval which traditional methods usually fail.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Chen, Ping-Xiang Li, and Liang-pei Zhang "Retrieving vegetation cover by using BP neural network based on Beijing-1 microsatellite data", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850O (29 December 2008); https://doi.org/10.1117/12.812495
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Cited by 7 scholarly publications.
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KEYWORDS
Neural networks

Vegetation

Remote sensing

Evolutionary algorithms

Error analysis

Neurons

Statistical analysis

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