Abstract: Remote sensing image classification is an important part of remote sensing data processing, and it plays an important role in both military strategy and civilian use. With the development of ...

Abstract: Remote sensing image retrieval with text feedback (RSIR-TF) presents a challenging multimodal retrieval task that leverages a reference image, modification text, and scene graph to retrieve ...

Satellite data services encompass a wide range of applications, including earth observation, weather forecasting, agriculture, telecommunications, navigation, and remote sensing, among others. Vietnam ...

This repo is used for recording, and tracking recent Remote Sensing Spatio-Temporal Vision-Language Models (RS-STVLMs). If you find any work missing or have any suggestions (papers, implementations, ...

A new prediction method was tested with satellite remote sensing and species distribution ... a web-based app for the public that provides free satellite monitoring and analysis of vegetation ...

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 ...

Augsenselab, a Thiruvananthapuram-headquartered quantum sensing and remote sensing startup, has raised $0.5 million in pre-seed funding from Emul Tek Private Limited, a 100 per cent subsidiary of ...

Abundant, well-annotated multimodal data in remote sensing are pivotal for aligning complex visual remote sensing (RS) scenes with human language, enabling the development of specialized vision ...

The LA fires showed the devastating impacts of wildfire propagation. Using sensors, imaging, AI and autonomy to locate, ...

By offering the ability to track wildfires, flooding, land use, infrastructure and urban development, satellite imagery fuels smarter geospatial ...

Enterprise Flagship Drone Platform Enhanced with Extended Flight Time, Intelligent Power-Line-Level Obstacle Sensing, and ...