Extraction of Ecological Corridor Based on Feature Fusion Image Segmentation Algorithm
In order to extract the shortest path ecological corridor and take into account the migration feasi-bility of various organisms,an ecological corridor extraction method based on feature fusion image segmen-tation algorithm was proposed.Color features and texture features were integrated to obtain the area of inter-est of the ecological corridor,the convolutional neural network model was built to divide the landscape of the study area into forest land,cultivated land,grassland,water and other types,and a path grid map ac-cordingly was constructed;the two-dimensional pheromone update strategy and the dynamic heuristic factor pheromone factor strategy were used to improve the traditional ant colony algorithm,the improved ant colo-ny algorithm was used to plan the shortest ecological corridor path based on a grid graph.The experimental results showed that the image segmentation F value of the modified method was between 0.954 and 0.984,and the fluctuation was small;the extracted ecological corridor path was relatively short,with fewer inflec-tion points,making it easier to realize material flow between the starting point and the end point.
feature fusionimage segmentationconvolutional neural networkant colony algorithmpheromoneextraction of ecological corridor
NETL
NSTL
万方数据
