Wavelet Frequency Channel Attention on Remote Sensing Image Segmentation

Abstract

In recent development of semantic segmentation, the deep convolutional encoder-decoder has become mainstream schemes for remote sensing images. In this paper, we proposed a U-Net like architecture for segmentation of remote sensing images using wavelet frequency channel attention (WFCA) blocks.