However, current change detection models are designed for high-quality optical remote sensing imageries and seldom account for image conditions such as haze cover or low-light scenarios. As we know, ...

Abstract: Optical remote sensing images, with their high spatial resolution and wide coverage, have emerged as invaluable tools for landslide analysis. However, visual interpretation and manual ...

SkyEyeGPT SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model Arxiv2024 Paper link EarthGPT EarthGPT: A Universal Multi-modal Large Language Model ...

This study analyzes shoreline changes in the estuarine area of Rizhao from 1985 to 2020 based on remote sensing images from Landsat 5 and Landsat 8. The largest shoreline changes were attributed to ...

You could change all the setting in the option.py through form of '--xxx xxx' during training and testing such as: python src/main.py --model your_model_name --save your_save_dir_name The project also ...

Discussion: This study contributes to the field by enhancing the extraction speed and scope of water bodies from SAR images and improving the quality of microwave remote sensing data processing. It ...

WASHINGTON — A new report for Congress’s US China Economic and Security Review Commission warns that China’s rapidly expanding remote sensing capabilities already have raised risks to US ...

The Nippon India Passive Flexicap FoF Regular Growth has an AUM of 237.40 crores & has delivered CAGR of 0.00% in the last 5 years. The fund has an exit load of 0.00% and an expense ratio of 1.01%.

The 21-day winter school training programme on Geospatial Technologies for Agriculture and Life Sciences being organised at the Punjab Remote Sensing Centre (PRSC), Ludhiana, concluded here today.

We discuss key tax considerations, compliance requirements, and strategies to optimize savings for remote workers in India while ensuring adherence to domestic and global taxation regulations. The ...