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A NOVEL TWO-COMPONENT DECOMPOSITION FOR CO-POLAR CHANNELS OF GF-3 QUAD-POL DATA
GF-3 satellite, Model-based decomposition, Two-component decomposition, Co-polar data, PolSAR
2018/4/30
Polarimetric target decomposition theory is the most dynamic and exploratory research area in the field of PolSAR. But most methods of target decomposition are based on fully polarized data (quad pol)...
STRUCTURAL INFORMATION DETECTION BASED FILTER FOR GF-3 SAR IMAGES
GF-3 SAR images despeckling filter adaptive windowing structural information
2018/4/30
GF-3 satellite with high resolution, large swath, multi-imaging mode, long service life and other characteristics, can achieve allweather and all day monitoring for global land and ocean. It has becom...
POLARIMETRIC CALIBRATION AND ASSESSMENT OF GF-3 IMAGES IN STEPPE
Polarimetric calibration PolSAR GF- image quality reflection symmetry
2018/4/30
The GaoFen-3 (GF-3) satellite is the first fully polarimetric synthetic aperture radar (PolSAR) satellite in China. It has three fully polarimetric imaging modes and is available for many applications...
Starting from the lunar observation requirements of the GF-4 satellite, the main index such as the resolution, the imaging field, the reflect radiance and the imaging integration time are analyzed com...
A CLOUD BOUNDARY DETECTION SCHEME COMBINED WITH ASLIC AND CNN USING ZY-3, GF-1/2 SATELLITE IMAGERY
CNN ASLIC GF-1/2 ZY-3 Imaging platforms
2018/4/30
Remote sensing optical image cloud detection is one of the most important problems in remote sensing data processing. Aiming at the information loss caused by cloud cover, a cloud detection method bas...
FULLY CONVOLUTIONAL NETWORK BASED SHADOW EXTRACTION FROM GF-2 IMAGERY
Fully Convolutional Network Shadow Extraction Deep Learning GF-2 Building Shadows
2018/4/30
There are many shadows on the high spatial resolution satellite images, especially in the urban areas. Although shadows on imagery severely affect the information extraction of land cover or land use,...