Open AccessDynamic reconstruction method of unmanned aerial vehicle aerial remote sensing image based on compressed sensing
Author(s) -
Guochun Ma,
Weichen Yang
Publication year - 2021
Publication title -
journal of geography and cartography
Language(s) - English
Resource type - Journals
ISSN - 2578-1979
DOI - 10.24294/jgc.v5i1.1413
Subject(s) - remote sensing , computer science , aerial image , computer vision , compressed sensing , artificial intelligence , feature (linguistics) , aerial survey , image (mathematics) , geography , linguistics , philosophy
Aiming at the current problems of poor dynamic reconstruction of UAV aerial remote sensing images and low image clarity, the dynamic reconstruction method of UAV aerial remote sensing images based on compression perception is proposed. Construct a quality reduction model for UAV aerial remote sensing images, obtain image feature information, and further noise reduction preprocessing of UAV aerial remote sensing images to better improve the resolution, spectral and multi-temporal trends of UAV aerial remote sensing images, and effectively solve the problems of resource waste such as large amount of sampled data, long sampling time and large amount of data transmission and storage. Maximize the UAV aerial remote sensing images sampling rate, reduce the complexity of dynamic reconstruction of UAV aerial remote sensing images, and effectively obtain the research requirements of high-quality image reconstruction. The experimental results show that the proposed dynamic reconstruction method of UAV aerial remote sensing images based on compressed sensing is correct and effective, which is better than the current mainstream methods.