There are thousands of observation satellites orbiting the Earth, each of which captures
massive-scale photographs covering millions of square kilometers everyday. In practice …

Very high-resolution remote sensing images hold promising applications in ground
observation tasks, paving the way for highly competitive solutions using image processing …

In this research, we present PerceptHashing, a technique designed to categorize million-
scale agricultural scenic images by incorporating human gaze shifting paths (GSPs) into a …

Oriented object detection is an important research topic in remote sensing. The detection of
oriented objects in remote sensing images remains a daunting challenge due to their …

The effective segmentation of clouds and cloud shadows is crucial for surface feature
extraction, climate monitoring, and atmospheric correction, but it remains a critical challenge …

Accurately calculating the labels of each high-resolution image is an unavoidable technique
in remote sensing. In this article, we propose a novel image assortment model that …