NDLI: HJ-1A HSI image data quality evaluation and application potential for features recognition

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2010 International Conference On Computer Design and Applications

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HJ-1A HSI image data quality evaluation and application potential for features recognition

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HJ-1A HSI image data quality evaluation and application potential for features recognition

Content Provider	IEEE Xplore Digital Library
Author	Nie Qian Liu Xiuguo Huang Xiaodong Gao Wei
Copyright Year	2010
Description	Author affiliation: Faculty of Information Engineering, China University of Geosciences, Wuhan, 430074, China (Nie Qian; Liu Xiuguo; Huang Xiaodong; Gao Wei)
Abstract	Using the HJ-1A HSI hyperspectral image of China and combining the methods of quality evaluation, the paper not only evaluate the data quality of radiometric precision, signal-to-noise, contrast, entropy and spectral feature fitting (SFF), but also study the ability of the features recognition, taking Wuhan region as the example. From the experiment results, we can know: 1) It's unusual from the band 1 to the band 11, and the other bands are well. 2) The ability of the features recognition is good, as the precision more than 85%. 3) The application such as agriculture, forestry, land classification, monitoring will be more effective depended on this.
File Size	1084946
File Format	PDF
ISBN	9781424471645
e-ISBN	9781424471645
DOI	10.1109/ICCDA.2010.5540840
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hyperspectra2 Image recognition Hyperspectral sensors SFF4 Gray-scale Entropy Quality Evaluation3 HJ-1A1 Forestry Probability density function Radiometry Spatial resolution Features Recognition5 Remote monitoring Hyperspectral imaging
Content Type	Text
Resource Type	Article

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