Judging for Barrier Lakes Based on Color Constancy Color Index Similarity Measure

Abstract

The barrier lake is a very common secondary disaster. The way to judge the barrier lake in the past is to led expert to assess whether a barrier lake has occurred. In traditional computer vision research focusing on figure features, color has not received sufficient attention, and it is generally believed that color is not an essential feature of an object. However, for geometric features, the color has a certain stability, which is not sensitive to size and direction, and exhibits considerable robustness. At the same time, in many cases, color is the easiest and most effective feature to describe an image, and is one of the main methods used to measure content similarity. This paper analyzes the map formed by aerial photography of drones, and uses the color constancy color similarity measure color constant color index and binary image similarity measure to judge whether the river is blocked and the degree of blockage, instead of the previous artificial judgment on the barrier lake. The results show that the color constant color index water body extraction method is less affected by the mountain shadow and thin cloud, which can completely eliminate the “Noise water body” phenomenon caused by the pixel-based color constant color index water body extraction method.