现代电子技术2025，Vol.48Issue(5)：142-146,5.DOI:10.16652/j.issn.1004-373x.2025.05.022
基于多源遥感数据的遥感影像生态地块划分方法
Method for remote sensing image ecological block division based on multi-source remote sensing data
摘要
Abstract
A method for remote sensing image ecological block division based on multi-source remote sensing data is proposed to achieve accurate ecological block division,and provide scientific basis for rational resource utilization,ecological protection and restoration.The high-frequency modulation fusion method is adopted to fuse pixel by pixel and collect multi-source remote sensing images of ecological environment.A new convolutional neural network(CNN)is constructed.The fused hyperspectral images are taken as the input.Multi-scale feature extraction of input hyperspectral images is achieved by introducing group convolution and residual learning into the CNN.The results of ecological block division are output after the processing of fully connected(FC)layers and softmax layers.And multi-class Focal loss function is introduced into the softmax layer,so as to eliminate class imbalance caused by the results of ecological block division and improve the division accuracy.Experimental results have shown that the proposed method can divide ecological block accurately,with an average accuracy of 95.38% .The spectral distortion values of the fused multi-source remote sensing images are all below 20,which can ensure the high fidelity of the fused images in spectral information and improve the accuracy of ecological block division.关键词
多源遥感/遥感影像/生态地块/划分方法/高通滤波融合/高光谱影像/融合影像/特征提取Key words
multi-source remote sensing/remote sensing image/ecological block/division method/high-pass filtering fusion/hyperspectral imaging/fusion imaging/feature extraction分类
信息技术与安全科学引用本文复制引用
李双营..基于多源遥感数据的遥感影像生态地块划分方法[J].现代电子技术,2025,48(5):142-146,5.基金项目
青海省科技计划项目(2022-QY-222) （2022-QY-222）
