Abstract: Fine-grained retrieval of remote sensing images is an image interpretation task that is still in its infancy. With the rapid development of convolutional neural networks (CNN) in the field ...

Over 40 years of combined drone industry expertise to support robust global sales initiatives WICHITA, Kan., March 19, 2025 (GLOBE NEWSWIRE) -- AgEagle Aerial Systems Inc. (NYSE: UAVS) a leading ...

Designed and built by Muon Space-including its state-of-the-art six-channel multispectral infrared (IR) instrument-FireSat showcases the company's ...

First, the complex scenes in remote sensing (RS) images make it difficult to accurately locate and distinguish the small change targets. Second, most RSICD methods usually stack complex modules to ...

2022; Xun et al., 2024). With the rapid development of remote sensing and emerging technologies, such as artificial intelligence (AI) and cloud computing, ecological environment monitoring has entered ...

Remote sensing image data can obtain the detailed information of surface rocks, minerals and structures, especially in the identification and distribution of altered minerals. Altered minerals, such ...

Attention remote sensing community! The Digital Imaging and Remote Sensing Laboratory at RIT wants you to participate in a major data collection experiment to acquire new data for research purposes.

Synthetic Aperture Radar (SAR) is an indispensable source of data for mapping and monitoring flood hazards, thanks to its ability to image the Earth’s surface ... to further boost accuracy. Remote ...