supported by the National Natural Science Foundation of China(41774006);the Comparative Study of Geo-environment and Geohazards in the Yangtze River Delta and the Red River Delta Project;the Shanghai Science and Technology Development Foundation(20dz1201200)。
Constrained by complex imaging mechanism and extraordinary visual appearance,change detection with synthetic aperture radar(SAR)images has been a difficult research topic,especially in urban areas.Although existing st...
supported by the National Natural Science Foundation of China(41171327;41301361);the National Key Basic Research Program of China(973 Program)(2012CB719903);the Science and Technology Project of Ministry of Transport of People’s Republic of China(2012-364-X11-803);the Shanghai Municipal Natural Science Foundation(12ZR1433200)
Segmentation is the key step in auto-interpretation of high-resolution spaceborne synthetic aperture radar(SAR) images. A novel method is proposed based on integrating the geometric active contour(GAC) and the sup...
supported by the National Natural Science Foundationof China(41001282)
The azimuth resolution improvement problem is solved via a coherent combination of synthetic aperture radar (SAR) ima-ges with the quasi-non-overlapped Doppler bandwidth. Prior to the spectra combination, SAR images...
supported by the National Natural Science Foundation of China(61001187;41001256;40971219);the National High Technology Research and Development Program of China(863 Program)(2013 AA122301)
Speckle effects on classification results can be sup- pressed to some extent by introducing the contextual information. An unsupervised classification algorithm is proposed for polarimetric synthetic aperture radar (...
supported by the National Natural Science Foundation of China (40871157; 41171317);the Foundation of Advance Research of Science and Technology for Chinese National Defence(9140C620201902)
A new constant false alarm rate (CFAR) target detector for synthetic aperture radar (SAR) images is developed. For each pixel under test, both the local probability density function (PDF) of the pixel and the cl...
supported by the National Key Laboratory of ATR(9140C8002010706).
Automatic bridge detection is an important application of SAR images. Differed from the classical CFAR method, a new knowledge-based bridge detection approach is proposed. The method not only uses the backscattering i...
the National Nature Science Foundation of China (60372057).
To study the scene classification in the Synthetic Aperture Radar (SAR) image, a novel method based on kernel estimate, with the Maxkov context and Dempster-Shafer evidence theory is proposed. Initially, a nonpaxame...
As traditional two-parameter constant false alarm rate (CFAR) target detec-tion algorithms in SAR images ignore target distribution, their performances are not the best or near best. As the resolution of SAR images ...
A new edge detection method combining the scanning window central edge (SWCE) detector and an improved active contour model is proposed. The method first emploies the SWCE detector based on the difference of area pi...
This project was supported by the National Natural Science Foundation of China (No. 49831060).
Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gray-le...