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Classifying different types of land cover in coastal zones using synthetic aperture radar (SAR) imagery is a challenge due to the fact that many types of coastal zone have similar backscattering characteristics. In this letter, we propose an unsupervised method based on a three-channel joint sparse representation (SR) classification with fully polarimetric SAR (PolSAR) data. The proposed method utilizes...
Bohai Sea, due to its proximity to China's capital Beijing, is one of the busiest seaways in the world. The worst sea ice over the past four decades has covered over 40 percent of the waters of Bohai during this February and March, according to the National Marine Environmental Forecasting Center (NMEFC). The ice has affected marine transport, fishing, aquatic breeding and offshore mining in the area...
Remote sensing data are primary sources for change detection because remote sensing technology can acquire Earth's surface feature in large area timely and simultaneously. This paper proposed a new change detection method base on spectral matching. Changes in spectra often correspond to changes in important surface physical parameters. Therefore, subtle land cover changes can be detected using spectral...
Matched filtering method is successfully used in classification for hyperspectral image. However, it is hard to extract the low reflectance ground object due to atmospheric influence. In this paper, an improved unsupervised classification method was introduced. It can extract the low reflectance object such as vegetation in shadowed region and water from the hyperspectral image effectively. Firstly,...
Matched filtering (MF) methods are widely used to detect specific materials based on matches to library or image endmember spectra. This paper used decision tree to combine three MF methods to extract the dioritic porphyrite from the hyperspectral remote sensing image. The study areas located at the Pulang porphyry copper and gold deposits in southwest of China. Firstly, the image was calibrated to...
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