Optimal classification of land use and cover based on ELM for hyperspectral remote sensing images
A hyperspectral remote sensing and classification method technology, which is applied in the field of hyperspectral remote sensing image classification optimization, can solve problems such as ELM instability, low classification accuracy, and poor robustness, and achieve improved classification accuracy, improved classification accuracy, and improved generalization performance Effect
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[0039] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the embodiments and the accompanying drawings.
[0040] Based on the rich spectral and spatial characteristics of hyperspectral image data, the use of various cutting-edge technologies to improve and optimize the remote sensing image classification method based on the ELM algorithm to give full play to the advantages of the algorithm has become a major research hotspot in the field of remote sensing. Research has very important theoretical and practical application value. Therefore, the present invention aims at the classification method of hyperspectral remote sensing image land based on the ELM algorithm, makes full use of the rich spatial texture features of hyperspectral images, and combines cutting-edge theories such as integrated learning and deep learning to optimize it.
[0041] The o...
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