Method and system for aerial land recognition based on remote sensing images

Abstract

A method and system for land use classification includes capturing remote sensing (RS) images by sensors on various remote sensing devices. The system includes a satellite constellation and an image database system. The database system stores classified remote sensing images in the image database system by downstream application. The system is provided with an input interface and built-in database functions for performing analysis on remote-sensing images. The method includes receiving the RS images by server communication circuitry and storing the RS images in memory. The method includes iteratively training a deep learning network that integrates an input layer, a residual block, inception blocks, bottleneck blocks and inverted bottleneck blocks, dense blocks, having integrated squeeze-excitation blocks. The method includes inputting the RS images, preventing a training gradient from vanishing, extracting features at multiple scales, balancing computational cost, and promoting reuse of the extracted features.