قاسمیان یزدی, محمد حسن
دانشگاه تربیت مدرس
[ 1 ] - جداسازی طیفی و مکانی تصاویر ابرطیفی با استفاده از Semi-NMF و تبدیل PCA
Unmixing of remote-sensing data using nonnegative matrix factorization has been considered recently. To improve performance, additional constraints are added to the cost function. The main challenge is to introduce constraints that lead to better results for unmixing. Correlation between bands of Hyperspectral images is the problem that is paid less attention to it in the unmixing algorithms. I...
[ 2 ] - استفاده از تبدیل PCA مکانی جهت ادغام تصاویر چند طیفی و تک رنگ
Obtaining of an image with high spectral and spatial resolution is the goal of image fusion. The PCA is a well-known pan-sharpening approach widely used for its efficiency and high spatial resolution. However, it can distort the spectral characteristics of the multispectral images. To avoid the weak points of the standard PCA technique, Spatial PCA transform has been proposed and the reasons of...
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