Remote sensing images (RSIs) are frequently degraded by haze, fog, and thin clouds, which obscure surface reflectance and hinder downstream applications. This study presents the first systematic and ...

ABSTRACT: The environmental impacts caused by frequent oil spills along the Congolese coast pose a significant concern. The main objective of this work is to study the dynamics of coastal pollution ...

Remote sensing AI foundation models, which are large, pre-trained models adaptable to various tasks, dramatically reduce the resources required to perform environmental monitoring, a central task for ...

A Long March 2C rocket carrying the SuperView Neo-1 03 and 04 satellites launches from Jiuquan, Feb. 27, 2025. Credit: Ourspace HELSINKI — China added to a commercial high-resolution remote sensing ...

This collection supports and amplifies research related to SDG 15 - Life on land. Remote sensing has emerged as a vital tool for monitoring forests, enabling comprehensive assessments of their ...

Abstract: Deep-learning (DL) algorithms, which learn the representative and discriminative features in a hierarchical manner from the data, have recently become a hotspot in the machine-learning area ...

WASHINGTON — A new report by a group of national security think tanks sheds light on the rapidly evolving global commercial remote sensing industry and delves into the heated competition between the ...

Four leading institutions—the Center for Strategic and International Studies, Taylor Geospatial Institute, Taylor Geospatial Engine, and the United States Geospatial Intelligence ...

When you use Windows Server, it becomes normal to use Windows Remote Assistance. However, if you haven’t used it earlier, you can follow this guide to enable, disable, set up, and use Remote ...

In this project, we propose the FIT-RS (Remote Sensing Fine-Grained Instruction Tuning) dataset, which contains 1,800,851 high-quality instruction samples covering various vision-language ...