Abstract:
In order to solve the problem of low accuracy of high spatial resolution (abbreviated as high resolution) remote sensing image in water information extraction, this paper tries to use LinkNet Convolutional Neural Network (CNN) model to extract water information from high-resolution remote sensing image, and to verify the feasibility and effectiveness of this network model in water information extraction. Firstly, the image of water is selected as training data, and then the LinkNet CNN model is constructed. Then, the prior model of water information is trained by the LinkNet CNN model. Finally, the model is used to extract the water information from the real high resolution remote sensing image and is compared with the existing algorithm. Experimental results show that the LinkNet CNN is capable of achieving high precision extraction of water information for high resolution remote sensing image, and is superior to the contrast algorithm.