收稿日期: 2016-04-25
修回日期: 2016-05-11
网络出版日期: 2017-01-15
基金资助
国家科技支撑计划（2012BAB16B01）；国家重点基础研究发展（973）计划项目（2013CB733402）和国家自然科学基金（41231170）资助
Water depth detection ability of WorldView-2 images
Received date: 2016-04-25
Revised date: 2016-05-11
Online published: 2017-01-15
以中国南海东岛周边海域为研究区域，利用波段组合法开展高分辨WorldView-2影像的水深探测能力研究，分别建立单波段、双波段和多波段模型，进行精度评价。结果表明：多波段模型反演效果最好，双波段次之，单波段最差；各波段水深探测能力比较：绿波段 >全色波段 >蓝波段 >红波段；前视影像比后视影像的水深反演精度略高，全色波段在水深探测中具有重要作用。
关键词： WorldView-2; 遥感影像; 水深探测; 多波段组合
刘亮 , 姜小光 , 刘善伟 , 潘微 , 雷宇 , 张学华 . WorldView-2影像的水深探测能力[J]. 中国科学院大学学报, 2017 , 34(1) : 64 -68 . DOI: 10.7523/j.issn.2095-6134.2017.01.009
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.
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