NDLI: Ship Detection in Optical Satellite Image Based on RX Method and PCAnet

Content Provider	Springer Nature Link
Author	Shao, Xiu Li, Huali Lin, Hui Kang, Xudong Lu, Ting
Copyright Year	2017
Abstract	In this paper, we present a novel method for ship detection in optical satellite image based on the ReedXiaoli (RX) method and the principal component analysis network (PCAnet). The proposed method consists of the following three steps. First, the spatially adjacent pixels in optical image are arranged into a vector, transforming the optical image into a 3D cube image. By taking this process, the contextual information of the spatially adjacent pixels can be integrated to magnify the discrimination between ship and background. Second, the RX anomaly detection method is adopted to preliminarily extract ship candidates from the produced 3D cube image. Finally, real ships are further confirmed among ship candidates by applying the PCAnet and the support vector machine (SVM). Specifically, the PCAnet is a simple deep learning network which is exploited to perform feature extraction, and the SVM is applied to achieve feature pooling and decision making. Experimental results demonstrate that our approach is effective in discriminating between ships and false alarms, and has a good ship detection performance.
Starting Page	1
Ending Page	18
Page Count	18
File Format	PDF
ISSN	15572064
Journal	Sensing and Imaging: An International Journal
Volume Number	18
Issue Number	1
e-ISSN	15572072
Language	English
Publisher	Springer US
Publisher Date	2017-06-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Ship detection Optical satellite image RX method PCAnet Deep learning network Support vector machine Electrical Engineering Microwaves, RF and Optical Engineering Imaging Radiology
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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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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