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In this paper we introduce two new parameters for polarimetric SAR (POLSAR) images. For this purpose, the eigenvalues and corresponding eigenvectors of the ...
Muhtar Qong, A. Iwashita: Two Novel Polarimetric Indices and Their Application on the Target Enhancement in POLSAR Images. IGARSS 2006: 1277-1280.
One of the most important applications of PolSAR is image classification, where each pixel is assigned to one terrain type. The classification map can be either ...
Two Novel Polarimetric Indices and Their Application on the Target Enhancement in POLSAR Images ... In this paper we introduce two new parameters for polarimetric ...
Feb 27, 2024 · A novel model is suggested, integrating feature extraction at various depths to enhance the classification performance of PolSAR images ...
First, to solve the problem of the small sample in Pol-. SAR image classification, a new data enhancement method based on the superpixel algorithm is proposed ...
Dec 19, 2021 · Essentially, pseudo-color images fuse different polarization characteristics. In this way, they can effectively enhance the target shape, widen ...
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Convolutional neural networks (CNNs) have been widely used to improve the accuracy of polarimetric synthetic aperture radar (PolSAR) image classification.
Polarimetric SAR (POLSAR) submits and receives fully polarized radar signals, containing more information on land surfaces than conventional single- or dual- ...
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