Hybrid AI-physics method developed for accurate aerosol remote sensing

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...
EurekAlert!

AI sharpens satellite eyes on air pollution

Accurate monitoring of atmospheric aerosols is essential for air-quality management and climate research, yet remains technically challenging. A new artificial intelligence approach combines deep ...
EurekAlert!

Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
GitHub

Radiation-Tolerant Unsupervised Deep Image Stitching for Remote Sensing

3 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. 4 DFH Satellite Co., Ltd., Beijing, China. For PyTorch dependency, see ...
IEEE

Fine-Grained Hashing for High Spatial Resolution Optical-SAR Remote Sensing Image Retrieval

Abstract: Optical (OPT) and Synthetic Aperture Radar (SAR) cross-modal remote sensing image retrieval is a key technique for all-weather Earth observation. The enhancement of SAR image resolution has ...
IEEE

Self-Distilled Self-Supervised Hashing for Remote Sensing Image Retrieval

Abstract: Remote sensing (RS) image retrieval is a crucial task for managing and exploiting the ever-expanding archives of Earth observation data. Hashing has been widely used for large-scale RS image ...
Frontiers

Efficient remote sensing image super-resolution with residual-enhanced wavelet and key-value adaptation

Table 1. Computational comparison of SR architectures. Additionally, computational overhead remains prohibitive for edge deployment. Existing efficient methods (Wang et al., 2024) require L sequential ...