Near-shore aquaculture area remote sensing image extraction method based on multi-feature and spectrum fusion

Abstract

The invention discloses a near-shore aquaculture area remote sensing image extraction method based on multi-feature and spectrum fusion, and the method comprises the steps: firstly preprocessing an inputted original remote sensing image, extracting a feature spectrum through a feature index method, and forming a ground feature feature set; secondly, using an improved constraint energy minimizationalgorithm for enhancing a target ground object in a culture area and weakening background spectral information; then using an Otsu method for calculating a threshold value, and preliminarily extracting the target ground object in combination with a single-waveband threshold value; and finally, carrying out customized elimination on the preliminarily extracted result by applying a gray-level co-occurrence texture matrix or an object-oriented method according to the ground object characteristics, and outputting a final result of culture area extraction. Compared with a traditional target detection method, the method has the advantages that even in a breeding area with the obvious foreign matter same spectrum phenomenon, background ground object interference can still be effectively overcome, a high-precision raft breeding area extraction result can be obtained, and the high-precision extraction requirement of the raft breeding area can be well met.

Description

technical field [0001] The invention belongs to the technical fields of remote sensing technology and image processing, and in particular relates to a method for extracting remote sensing images of coastal aquaculture areas based on multi-feature and spectrum fusion. Background technique [0002] Since the second industrial revolution, more and more countries and regions have paid more and more attention to fishery resources as a supplement to terrestrial food resources. As an important part of fishery resources, aquaculture activities have higher self-selectivity and economic benefits, but have a deeper impact on the natural environment. With the continuous deposition of excrement in water and the increase of residual bait, the ammonia nitrogen content in aquaculture water continues to increase. Accumulation, the phenomenon of eutrophication in water body intensifies, and the natural environment of aquaculture area deteriorates. Therefore, how to carry out reasonable breed...

AI Technical Summary

Problems solved by technology

However, due to the differences between sensors and their own parameters, there is no aquatic characteristic index that is available for most satellite image data, and the reflection characteristics of aquaculture areas are differentiated due to the influence of different water quality factors in the same aquaculture area Phenomenon

This also adds difficulties to the pixel-based extraction method, and it also makes it difficult for the pixel extraction method to independently and accurately extract the aquaculture area, and the combination with other methods can make better use of the spectral characteristics of the aquaculture area. Improving the Accuracy of Aquaculture Area Extraction Algorithm

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