HyperCast: Hyperspectral satellite image broadcasting with band ordering optimization
نویسندگان
چکیده
منابع مشابه
Visualization, Band Ordering and Compression of Hyperspectral Images
Air-borne and space-borne acquired hyperspectral images are used to recognize objects and to classify materials on the surface of the earth. The state of the art compressor for lossless compression of hyperspectral images is the Spectral oriented Least SQuares (SLSQ) compressor (see [1–7]). In this paper we discuss hyperspectral image compression: we show how to visualize each band of a hypersp...
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Due to the high dimensionality of a hyperspectral image, classification accuracy of a single classifier may be limited when the size of the training set is small. A divide-and-conquer approach has been proposed, where a classifier is applied to each group of bands and the final output will be the fused result of multiple classifiers. Since the dimensionality in each band group is much lower, cl...
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With the development of spectral imaging technology, it makes hyperspectral imagery widely used. According to the features of multiple bands and the strong mutual correlation among these bands, this paper presents a band selection method for hyperspectral imagery classification based on improved PSO (Particle Swarm Optimization). First of all, we use information divergence to describe the corre...
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In the research of remote sensing for precision farming applications, the data quality of the aerial hyperspectral imaging system suffers from geometric distortions. Some of the distortions are caused by aircraft attitude change during the current pushbroom type image scanning. These distortions must be corrected before image data can be geo-referenced and used for field pattern identifications...
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ژورنال
عنوان ژورنال: Journal of Visual Communication and Image Representation
سال: 2017
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2016.11.006