Study on Improving Hyperspectral Target Detection by Target Signal Exclusion in Matched Filtering
نویسندگان
چکیده
منابع مشابه
Adjusted Spectral Matched Filter for Target Detection in Hyperspectral Imagery
Supervised target detection and anomaly detection are widely used in various applications, depending upon the availability of target spectral signature. Basically, they are based on a similar linear process, which makes them highly correlated. In this paper, we propose a novel adjusted spectral matched filter (ASMF) for hyperspectral target detection, which aims to effectively improve target de...
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Dimensionality Reduction (DR) is a crucial first step in many hyperspectral processing algorithms. In some applications, such as target detection, change detection and classification, it is important to preserve the information associated to rare pixels, i.e. pixels scarcely represented in the data and containing spectral components that are linearly independent of the background. This paper pr...
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Hyperspectral data in Remote Sensing which have been gathered with efficient spectral resolution (about 10 nanometer) contain a plethora of spectral bands (roughly 200 bands). Since precious information about the spectral features of target materials can be extracted from these data, they have been used exclusively in hyperspectral target detection. One of the problem associated with the detect...
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ژورنال
عنوان ژورنال: Korean Journal of Remote Sensing
سال: 2015
ISSN: 1225-6161
DOI: 10.7780/kjrs.2015.31.5.7