东北电力技术2025，Vol.46Issue(4)：55-59,5.
智能巡检无人机多光谱遥感图像增强方法研究
Research on Multispectral Remote Sensing Image Enhancement Methods for Intelligent Inspection UAV
陶晰 1夏云峰 1陈俊安1
作者信息
- 1. 海南电网有限责任公司输电运检分公司,海南 海口 570100
- 折叠
摘要
Abstract
Intelligent inspection UAV multispectral remote sensing images usually contain information from multiple frequency bands,thus having a high data dimension.A large amount of data needs to be processed during denoising and feature extraction,increasing the complexity of computation and processing.To this end,a method for enhancing multispectral remote sensing images of intelligent inspection UAV is studied.Firstly,the Contourlet transform is introduced to transform the denoising problem of low-quality inspection images into a Bayesian estimation problem,and inverse transformation estimation is performed on low-quality inspection images to com-plete the denoising of unmanned aerial vehicle multispectral remote sensing images.Combining wavelet transform with neural network,image is decomposed and reconstructed using wavelet transform,and neural network is used for image enhancement.The experimental results show that compared with traditional methods,the image enhancement effect of the research method is better.关键词
智能巡检/多光谱遥感/图像增强/Contourlet变换/小波神经网络Key words
intelligent inspection/multispectral remote sensing/image enhancement/contourlet transformation/wavelet neural network分类
动力与电气工程引用本文复制引用
陶晰,夏云峰,陈俊安..智能巡检无人机多光谱遥感图像增强方法研究[J].东北电力技术,2025,46(4):55-59,5.
