The structural similarity region search algorithm is used to realize the automatic extraction of TM image narrow rivers, which is of great value for disaster assessment and soil and water resources management. The discontinuity of narrow river extraction is the main problem which causes the difficulty in accurate obtaining of information about rivers. Many experts have studied various characteristic properties of water bodies to avoid the phenomenon of river information leakage during extraction. However, due to the complex flow of narrow rivers and the vulnerability to environmental disturbances, it is difficult to achieve complete extraction of river information. Combining structural similarity and heuristic search algorithm, this paper proposes a new method for accurately connecting faulted rivers. The specific process of the method is as follows: Firstly, according to the reflection characteristics of the ground objects, the water body extraction model is used to distinguish the narrow rivers from the irrelevant information. Then, the difference between the gray values of the water bodies on different bands is used to set different thresholds for unrelated noise removal. Third, the discontinuous rivers are evaluated by searching. The area is used to determine the breakpoints to be connected to the river. Finally, the heuristic automatic search connection is realized by using the structural similarity between the 5, 4, and 3 bands of river pixels in the TM image. A comparison with several algorithms shows that the proposed method can solve the problem of river extraction fracture of traditional algorithms and realize the precise connection of discontinuous narrow rivers.
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2020, Vol. 32 
), 张祝鸿, 韩文科, 孙显辰, 张玲莉
