Abstract: High-resolution remote sensing imagery (RSI) plays a pivotal role in the semantic segmentation ... In this paper, we introduce an efficient multimodal symmetric network (EMSNet) designed to ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

You will be redirected to our submission process. With the continuous development and application of Global Navigation Satellite System Reflectometry (GNSS-R) technology, particularly in ocean remote ...

The two stages are noise addition and denoising according to the fast sampling module with T = 20 steps. x0 is the residual image of the subtraction between the HR image and the Bicubic image.. We ...

Recent advancements in soil mapping techniques, particularly digital soil mapping (DSM), have transformed ... including machine learning and remote sensing, to create detailed and accurate soil ...

The group focuses on observing and modeling coastal processes including beach evolution, cliff erosion, and nearshore waves. CW3E provides water cycle science, technology and outreach to support ...

Are you interested in remote sensing and GIS as research and analysis method? The Remote Sensing and GIS course provides you with knowledge about remote sensing as an anlytical method, practical ...

Generative AI has radically transformed digital creation. AI image generators can produce pictures from just a few words in a prompt, and it's becoming easier than ever to find and use these programs.