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COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL
PolSAR, Despeckling Relative Total Variationl Wishart Measure PolRTV
2018/5/14
Relatively total variation (RTV) algorithm, which can effectively decompose structure information and texture in image, is employed in extracting main structures of the image. However, applying the RT...
On the derivation of soil surface roughness from multi parametric PolSAR data and its potential for hydrological modeling
soil surface roughness PolSAR data hydrological modeling
2009/4/28
The potential of multi parametric polarimetric SAR (PolSAR) data for soil surface roughness estimation is investigated and its potential for hydrological modeling is evaluated. The study utilizes mic...