基于PLSA和BoW的高分遥感影像小型港口检测

doi:10.3969/j.issn.0255-8297.2019.03.001

Journal of Applied Sciences ›› 2019, Vol. 37 ›› Issue (3): 301-312.doi: 10.3969/j.issn.0255-8297.2019.03.001

• Signal and Information Processing • Previous Articles Next Articles

Small Harbor Detection Based on PLSA and BoW in High Resolution Remotely Sensed Imagery

BI Qi¹, TONG Xin², ZHANG Jiyong³, XU Kai⁴, ZHANG Han¹, QIN Kun¹

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
2. Zhongnan Branch, Beijing North-Start Digital Remote Sensing Technology Co. Ltd., Wuhan 430070, China;
3. State Grid Economic and Technical Research Institute Co. Ltd., Beijing 102209, China;
4. Faculty of Information Engineering, China University of Geosciences, Wuhan 430070, China

Received:2018-03-03 Revised:2018-07-15 Online:2019-05-31 Published:2019-05-31

Abstract

Abstract: Remotely sensed high resolution imaging is an effective way to monitor small harbors along coastlines. Harbors vary a lot in features and are usually difficult to describe. This paper studies a harbor detection method based on probabilistic latent semantic analysis (PLSA) and bag of words (BoW). Firstly, coastlines are extracted to shrink searching areas. Then grey level histogram, normalized differential water index and fractal dimension features are introduced to PLSA model to generate feature description sets. Eigenvectors of speeded up robust features are introduced to BoW model to generate visual dictionary. Finally, after collecting samples of small harbors, support vector machine (SVM) classifiers are trained based on the above features. Based on the trained classifier, small harbor detection is implemented based on 22 images. Experiments show that the proposed method reaches the best accuracy with relatively low time cost than single-feature models and single PLSA or BoW model.

Key words: high resolution remotely sensed imagery, small harbor detection, probabilistic latent semantic analysis (PLSA), bag of words (BoW), coastline extraction

CLC Number:

TP751

BI Qi, TONG Xin, ZHANG Jiyong, XU Kai, ZHANG Han, QIN Kun. Small Harbor Detection Based on PLSA and BoW in High Resolution Remotely Sensed Imagery[J]. Journal of Applied Sciences, 2019, 37(3): 301-312.

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Small Harbor Detection Based on PLSA and BoW in High Resolution Remotely Sensed Imagery

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