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South Sea Islands of China are far away from the mainland, the reefs takes more than 95% of south sea,and most reefs scatter over interested dispute sensitive area. Thus, the methods of obtaining the reefs bathymetryaccurately are urgent to be developed. Common used method, including sonar, airborne laser and remote sensingestimation, are limited by the long distance, large area and sensitive location. Remote sensing data provides aneffective way for bathymetry estimation without touching over large area, by the relationship between spectruminformation and bathymetry. Aimed at the water quality of the south sea of China, our paper develops a bathymetryestimation method without measured water depth. Firstly the semi-analytical optimization model of the theoreticalinterpretation models has been studied based on the genetic algorithm to optimize the model. Meanwhile, OpenMPparallel computing algorithm has been introduced to greatly increase the speed of the semi-analytical optimizationmodel. One island of south sea in China is selected as our study area, the measured water depth are used to evaluatethe accuracy of bathymetry estimation from Worldview-2 multispectral images. The results show that: thesemi-analytical optimization model based on genetic algorithm has good results in our study area;the accuracy ofestimated bathymetry in the 0-20 meters shallow water area is accepted.Semi-analytical optimization model basedon genetic algorithm solves the problem of the bathymetry estimation without water depth measurement. Generally,our paper provides a new bathymetry estimation method for the sensitive reefs far away from mainland

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Research on bathymetry estimation by Worldview-2 based with the semi-analytical model