نتایج جستجو برای: spectral and multi
تعداد نتایج: 16934688 فیلتر نتایج به سال:
Time series spectral imaging facilitates a comprehensive understanding of the underlying dynamics multi-component systems and processes. Most existing classification strategies focus exclusively on features they tend to fail when spectra between classes closely resemble each other. This work proposes hybrid approach principal component analysis (PCA) deep learning (i.e., long short-term memory ...
Spectral target detection could be regarded as one of the strategic applications of hyperspectral data analysis. The presence of targets in an area smaller than a pixel’s ground coverage has led to the development of spectral un-mixing methods to detect these types of targets. Usually, in the spectral un-mixing algorithms, the similar weights have been assumed for spectral bands. Howe...
Image segmentation is a key step of oil spills detection in SAR images. For the problem that the traditional multi-spectral clustering algorithm with the features extraction by GLCM (Gray-Level Co-occurrence Matrix) has such limitations as direction sensitivities and difficulties in selecting the best feature combination etc., this paper proposes a multi-scale segmentation method of oil spills ...
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