Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...
A camera in the sky might be one of the best tools for the soil beneath our feet. In fact, Kansas State University researcher Deepak Joshi believes remote sensing — using drones, satellites and ground ...
This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...
A Kuaizhou-1A modified rocket lifts off from Xichang spaceport, July 31 UTC, 2025, carrying the Pakistan's PRSS-01 remote sensing satellite. Credit: Expace HELSINKI — China launched a remote sensing ...
Hiding meaning in plain sight, a tangled web of words and codes, concealing truths from prying eyes. Hiding meaning in plain sight, a tangled web of words and codes, concealing truths from prying eyes ...
© Luke Hales/Getty ImagesA detailed view of the 2025 FIFA Club World Cup Trophy at BMO Stadium on May 30, 2025. The 2025 FIFA Club World Cup is set to showcase top ...
A Long March 2C rocket carrying the SuperView Neo-1 03 and 04 satellites launches from Jiuquan, Feb. 27, 2025. Credit: Ourspace HELSINKI — China added to a commercial high-resolution remote sensing ...
A Long March-4C carrier rocket carrying a new Earth observation satellite blasts off from the Jiuquan Satellite Launch Center in northwest China on Aug. 21, 2023. The satellite, Gaofen-12 04, was ...
Comprehensive Attribute Difference Attention Network for Remote Sensing Image Semantic Understanding
Abstract: In the task of semantic understanding of remote sensing images, most current research focuses on learning contextual information through attention mechanisms or multiple inductive biases.
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