Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope.

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

Despite the visibility improvements achieved by existing methods, ocean remote sensing images often suffer from over-enhancement and texture distortion due to light attenuation and scattering, ...

Congedo, L. (2021) Semi-Automatic Classification Plugin A Python Tool for the Download and Processing of Remote Sensing Images in QGIS. Journal of Open Source Software, 6, Article 3172. Login ...

This repository contains the official implementation of the paper DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding, developed based on the OpenMMLab ...

This solution is implemented as a user-friendly Python package, LangRS, making advanced remote sensing segmentation accessible to a wide range of users. Advanced Search Home ...

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 ...

Novel frequency-adaptive methods enhance remote sensing image processing. Jan 18, 2024. New unsupervised domain adaptation framework enhances precision in medical image segmentation. Aug 13, 2024. New ...

2.2.1.2 Smooth processing of remote sensing images based on guided filtering. To further enhance the edge details of shallow landslide remote sensing images, a local linear model guided by filtering ...