马胜等：Bathymetry Retrieval from Hyperspectral Remote Sensing Data in Optical-Shallow Water

Bathymetry Retrieval from Hyperspectral Remote Sensing Data in Optical-Shallow Water
作者:Ma, S (Ma, Sheng)[ 1,2 ] ; Tao, Z (Tao, Zui)[ 1,2 ] ; Yang, XF (Yang, Xiaofeng)[ 1,2 ] ; Yu, Y (Yu, Yang)[ 1,2 ] ; Zhou, X (Zhou, Xuan)[ 1,2 ] ; Li, ZW (Li, Ziwei)[ 1,2 ]
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷: 52  期: 2  页: 1205-1212
DOI: 10.1109/TGRS.2013.2248372
出版年: FEB 2014

摘要
In this paper, an algorithm for estimating shallow-water depth from hyperspectral data is proposed. This methodology is based on the different responses of shallow-water reflectance on depth and substrate type. Two parameters-similarity coefficient and Pearson correlation coefficient-are introduced to describe the different types of responses, and a linear logarithm ratio model is established. Using Hyperion data over the coastal regions of O'Ahu Island and Saint Thomas Island, the retrieved bathymetry is compared with the airborne LIDAR data. The validation results show that the proposed method has good performance, and the root mean square error is less than 1.5 m over shallow water (shallower than 20 m).

通讯作者地址: Yang, XF (通讯作者)
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
[ 2 ] Beijing Normal Univ, Beijing 100101, Peoples R China