Satellite imaging is now vital for disaster management: But there are dangerous gaps

The extreme weather events and resulting destruction that have hit New Zealand this summer are not only signs of a changing ...

Satellite images used to detect ₹217 crore irregularity in crop insurance claims

The probe, conducted in the second week of February, was prompted by an unusual surge in insurance applications for banana ...
IEEE

Hybrid Feature Extraction and Mamba Fusion for Multi-modal Remote Sensing Image Classification

Abstract: Multi-modal remote sensing image classification has emerged as a research focus. Mamba, characterized by linear computational complexity, has demonstrated potential in remote sensing image ...
IEEE

MPFASS-Net: A Mamba Progressive Feature Aggregation Network With Self-Supervised for Remote Sensing Image Scene Classification

Abstract: Focusing on the semantic gap problem of “large intraclass differences and small interclass differences” caused by the complex background and scale variations of interest targets in remote ...
Frontiers

Classification of tobacco leaf diseases based on multi-source remote sensing data

Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...