NDLI: A traditional intelligent problem and multi-stage inversion

Content Provider	IEEE Xplore Digital Library
Author	Hua Yang Xin Ding Xiaowen Li Jindi Wang
Copyright Year	2001
Description	Author affiliation: Dept. of Geogr., Beijing Normal Univ., China (Hua Yang)
Abstract	The ultimate aim of quantitative remote sensing is inversion. But because of the noise and correlation of observations, the complexity of the land surface system, the information of data is often less than that required to inverse for so many unknowns, the inversion problems of quantitative remote sensing often ill-posed. Though we may have multi-temporal, multi-spectral, and now even multiangular observations, the increasing of information in data is often accompanied with an increasing of number of unknown parameters. Thus in present remote sensing practice, we should make the best use of prior knowledge by a developing suitable inversion strategy. This is the key to resolving this problem. In order to achieve this, we studied the multi-stage, sample-direction dependent, target-decisions (MSDT) inversion strategy. Here a traditional intelligent problem is used to illustrate how prior knowledge is propagating in a multi-stage procedure, and how the information is accumulated in each stage through inversion using new observations. The solution of this problem demonstrates how MSDT concept works. Finally, we discussed how to use information entropy to express the accumulation of our knowledge during the procedure (or MSDT), how to quantitatively describe change of information to help target-decisions.
Starting Page	1058
Ending Page	1060
File Size	400888
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.976745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Geography Land surface Information entropy Geoscience Geophysics Equations Uncertainty Information retrieval
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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