Levee soil moisture assessment based on a backpropagation neural network using synthetic aperture radar data

34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

Volumn , Issue , 2011, Pages

  Mahrooghy, Majid ^a,b   Aanstoos, James ^b   Hasan, Khaled ^b   Younan, Nicolas H ^a,b  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Feature extraction; Neural networks; Synthetic aperture radar (SAR)

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; CONDUCTIVITY MEASUREMENTS; EMPIRICAL MODEL; POTENTIAL FAILURES; SAR BACKSCATTER; SOIL CONDUCTIVITY; TESTING SAMPLES; TEXTURE FEATURES;

BACKSCATTERING; ENVIRONMENTAL ENGINEERING; FEATURE EXTRACTION; LEVEES; NEURAL NETWORKS; REMOTE SENSING; SOIL MOISTURE; STATISTICAL TESTS; TREES (MATHEMATICS);

SYNTHETIC APERTURE RADAR;

EID: 84879738480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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