Recently, Mamba-based methods built upon the State Space Model (SSM) have shown great potential for long-range dependency modeling with linear complexity, but they have rarely been explored for ...

Abstract: The Segment Anything Model (SAM), despite its remarkable performance in dense visual tasks, encounters a significant challenge in remote sensing image segmentation due to the intricate, ...

particularly in ocean remote sensing, significant progress has been made in the scientific community. Missions like TechDemoSat-1 (TDS-1) and the Cyclone Global Navigation Satellite System (CYGNSS) ...

Every two years, the India State of Forest Report (ISFR) produced by the Forest Survey of India (FSI) is released with much ...

The integration of advanced technologies like artificial intelligence (AI), remote sensing, unmanned aerial vehicles (UAVs), big data analytics, the Internet of Things (IoT), Global Positioning system ...

Few-Shot Object Detection for Remote Sensing Images via Features Aggregation and Scale Attention [Paper] ---[TGRS] Few-Shot Object Detection With Multilevel Information Interaction for Optical Remote ...

If the health of the global economy will depend on avoiding as much climate change as possible, some unconventional ...

Seeks greater financial, policy support for Forest Conservation, Tribal Welfare in J&K NEW DELHI: Minister for Jal Shakti, Forest, Ecology & Environm ...

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 ...

Seeks greater financial, policy support for Forest Conservation, Tribal Welfare in J&K NEW DELHI, Jan 29: Minister for Jal ...

The pre-training and fine-tuning paradigm has revolutionized satellite remote sensing applications. However, this approach remains largely underexplored for airborne laser scanning (ALS), an important ...