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The similarity of functional area images of water network urban regional planning is strong, and affected by ecological environment, water resource scheduling and other factors, resulting in poor coordination of water network regional planning. A coordinated control method of water network urban regional planning based on spectral features of three regions of remote sensing image is proposed. Using high resolution remote sensing equipment to collect urban images; Using morphology algorithm and structure tree, the image is refined by means of hit and miss transformation. The spectral features of images were extracted from brightness mean, target standard deviation and brightness difference index. The nearest neighbor classification algorithm was used to establish A classification model. Based on the environment and spectral characteristics of priority functional areas, general functional areas and conflict coordination areas, the extracted features were input into the classification model and the division results were automatically output. A* algorithm was used to simplify the division steps and realize the coordination and control of water network urban planning. The experimental results show that the proposed method improves the quality of remote sensing images, and the classification results meet the feature requirements of different functional areas. Taking into account other ecological elements, the planning is coordinated and the planning effect is good. The target area planning can be completed within 2s, and the planning time is short. The detection error of target planning data is small, the accuracy is high, the search efficiency is greatly improved, and it can provide a reliable basis for the coordination and control of urban planning of water network.