An Inversion method of Remote Sensing Water Depth Based on Transmission Bands Ratio
The water depth inversion of shallow reefs plays an important role for marine safety, marine engineering and marine military. The IKONOS satellite remote sensing image and the chart water depth data are analyzed and processed in this paper and a new neural network model is established by transmission bands ratio. The ratio of blue, green, red and nearinfrared bands of IKONOS is used to calculate the water depth. Using neural network model, the water depth are inversed directly by the remote sensing image data without regard to other environmental factors (e.g. sea sediments, marine organisms, etc.). The non-linear relationship between the multispectral IKONOS data and the measured depth data can be established within the proposed model and higher inversion precision can be obtained compared with traditional regression model.
remote sensing transmission bands water inversion neural network
Zhenxing Zhang Huizhong Teng
College of Automation Harbin Engineering University Harbin, Heilongjiang, China Naval Institute of Hydrographic Surveying and charting Tianjin, China
国际会议
昆明、丽江
英文
1002-1006
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）