Hyperspectral image classifier based on beach spectral feature
نویسندگان
چکیده
منابع مشابه
Hyperspectral image classifier based on beach spectral feature
The seashore, especially coral bank, is sensitive to human activities and environmental changes. A multispectral image, with coarse spectral resolution, is inadaptable for identify subtle spectral distinctions between various beaches. To the contrary, hyperspectral image with narrow and consecutive channels increases our capability to retrieve minor spectral features which is suit for identific...
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The hyperspectral image enriches spectrum information, so compared with panchromatic image and multispectral image; it can classify the ground target better. The feature extraction of hyperspectral image is the necessary step of the ground target classification, and the kernel method is a new way to extract the nonlinear feature. In this paper, First the mathematical model of the generalized di...
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Recently, for the task of hyperspectral images classification, deep learning-based methods have revealed promising performance. However, the complex network structure and time-consuming training process have restricted their applications. In this letter, we construct a much simpler network, nonlinear spectral-spatial network (NSSNet), for hyperspectral images classification. NSSNet is developed...
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^Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland, Baltimore County, Baltimore, MD 21250 ^Computer Science Department, University of Extremadura Avda. de la Universidad s/n,10.071 Caceres, SPAIN ^Center for Space and Remote Sensing Research Graduate Institute of Space Science Department of Computer Science and...
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ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2014
ISSN: 1755-1315
DOI: 10.1088/1755-1315/17/1/012106