A Method for Extracting Mariculture Areas from Satellite Imagery Based on Scale Space Transformation

Abstract

The invention provides a method for extracting aquaculture area in a satellite image based on scale space transformation, which is characterized in that it comprises the following steps: 1) on the basis of remote sensing image segmentation, using NDWI index to extract the water body area in the remote sensing image; 2) Carry out large-scale and small-scale spatial transformations for each band of the remote sensing image of the water body area, and subtract the results of the large-scale spatial transformation from the results of the small-scale spatial transformation to obtain a multi-band local enhancement image; 3) In the target area Select the sample set in , and perform vector projection transformation on the multi-band local enhanced image to obtain the characteristic map of the breeding area; 4) Observe the target area, determine the threshold, and extract the breeding area from the characteristic map of the breeding area. The method for extracting marine aquaculture areas of the present invention uses the cross-scale calculation mechanism in the image scale space, on the basis of utilizing full-band vector projection transformation, and realizes high-precision extraction of various types of aquaculture areas in satellite remote sensing images through a double-threshold method.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a method for extracting marine breeding areas in satellite images based on scale space transformation. Background technique [0002] Maritime farming provides humans with a large amount of food and promotes coastal economic benefits, but it also brings serious environmental problems. Timely and accurate acquisition of the spatial distribution information of mariculture is of great significance to the management of the development of mariculture and early warning of disasters such as typhoons and storm surges. Satellite remote sensing data has a wide monitoring range, short acquisition time, and rich ground object information, which can monitor these breeding information more macroscopically and quickly. Therefore, the development of satellite remote sensing to obtain mariculture extraction technology can provide objective, accurate and timely spatial distributio...

AI Technical Summary

Problems solved by technology

However, the above methods still have the following problems: (1) In the satellite remote sensing images with a wide coverage and low cost of 15-30 meters resolution, the image segmentation accuracy is low, resulting in the above object-oriented method based on image segmentation. Low; (2) NDVI-based indicators only use information in the red band and near-infrared band, and the extraction type is limited to raft farming, and it is difficult to further improve the extraction accuracy; (3) It is difficult to improve Recall and precision of extraction precision

[0004] To retrieve Chinese and foreign literature, there is no method for extracting marine breeding areas based on satellite images in the prior art that combines cross-scale operations of scale space transformation, vector projection transformation, and double threshold extraction

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