NDLI: Change detection from remotely sensed images based on a decision theoretic method

Content Provider	IEEE Xplore Digital Library
Author	Singh, A. Singh, K.K. Zhikun Ren
Copyright Year	2015
Description	Author affiliation: Dept. of CSE & IT, ITM Univ., Gurgaon, India (Singh, A.) \|\| Dept. of Electr. & Electron. Eng., Dronacharya Coll. of Eng., Gurgaon, India (Singh, K.K.) \|\| Inst. of Geol. China Earthquake Adm., China (Zhikun Ren)
Abstract	In this paper, a change detection method for remotely sensed satellite images based on a decision theoretic method is proposed. The proposed method works in two stages. In the first stage, a difference image was computed using change vector analysis (CVA) technique. For multispectral images, CVA technique works well as it uses all the bands of two multidate satellite images to compute the difference image. In the next stage, the algorithm aims to classify the difference image into two classes: changed and unchanged, in such a way as to minimize the probability of misclassifications. Finally, a decision function based on the mean and covariance matrix of the changed and unchanged classes is used to build a change detection map showing changed and unchanged areas. The proposed algorithm was compared quantitatively and qualitatively with other existing state of the art methods. The results showed that the proposed method outperforms the other methods.
Starting Page	495
Ending Page	498
File Size	196315
Page Count	4
File Format	PDF
ISBN	9789380544151
e-ISBN	9789380544168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Bharati Vidyapeeth University, New Delhi
Subject Keyword	Algorithm design and analysis Change vector analysis Satellites Accuracy Change detection algorithms Change detection Transforms Classification Priori probability Classification algorithms Remote sensing Decision theoretic
Content Type	Text
Resource Type	Article

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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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