Water depth detection ability of WorldView-2 images

doi:10.7523/j.issn.2095-6134.2017.01.009

›› 2017, Vol. 34 ›› Issue (1): 64-68.DOI: 10.7523/j.issn.2095-6134.2017.01.009

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Water depth detection ability of WorldView-2 images

LIU Liang^1,2,3, JIANG Xiaoguang¹, LIU Shanwei⁴, PAN Wei⁴, LEI Yu^2,3, ZHANG Xuehua^2,3

1 University of Chinese Academy of Sciences, Beijing 100049, China;
2 National Disaster Reduction Center of China, Ministry of Civil Affairs of the People's Republic of China, Beijing 100124, China;
3 Satellite Application Center for Disaster Reduction, Ministry of Civil Affairs of the People's Republic of China, Beijing 100124, China;
4 China University of Petroleum, Qingdao 266580, Shandong, China

Received:2016-04-25 Revised:2016-05-11 Online:2017-01-15

Abstract

Abstract:

This study takes the area surrounding Dongdao Island of the South China Sea as the study area, and uses a multi-band combination method to study the detection ability of water depth through WorldView-2 images. The single-band, dual-band, and multi-band models for water depth detection are built, and the detection ability and accuracy are evaluated. Results indicate that the multi-band model shows the best effect, the dual-band model the second, and the single-band model the last. For the single-band model, the depth detection ability order from the best to the worst is:green band, panchromatic band, blue band, and red band. The depth detection accuracy of the front view image is higher than that of the back view image. Panchromatic band plays an important role in water depth detection.

Key words: WorldView-2, remote sensing image, water depth detection, multi-band combination

CLC Number:

TP75

LIU Liang, JIANG Xiaoguang, LIU Shanwei, PAN Wei, LEI Yu, ZHANG Xuehua. Water depth detection ability of WorldView-2 images[J]. , 2017, 34(1): 64-68.

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Water depth detection ability of WorldView-2 images

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