Construction of Yunnan's Agricultural Ecological Civilization Based on Intelligent UAV and SAR Image Analysis

This paper studies the construction of Yunnan's agricultural ecological civilization based on the analysis of intelligent drones and SAR images. This article deeply discusses several key problems faced by multi-rotor UAV SAR imaging processing from the aspects of imaging algorithm, motion compensation and auto-focusing, and puts forward an effective imaging processing scheme. The SIFT algorithm is used to extract the image feature points, and the BBF algorithm calculates and generates a matching point set. According to the matching point set, the inter-image perspective transformation model is calculated to complete the image registration, and the wavelet transform algorithm is used to realize the registration image fusion. Based on SAR image analysis and dimensionality reduction of remote sensing data, dimensionality reduction, extraction and classification of remote sensing images of agricultural ecology in Yunnan are carried out.