Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...
Abstract: Remote sensing data are of considerable significance for monitoring global climate, detecting harmful algae bloom, and so on. However, due to sensor failures, cloud cover, and thick aerosols ...
This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping. AgriFM is a multi-source temporal remote sensing foundation ...
Alex Oxlade-Chamberlain interview: ‘At Arsenal, everything is bigger and moving towards elite-level’
Oxlade-Chamberlain has been training with Arsenal Photo: Getty Images; design: Eamonn Dalton In some ways, Alex Oxlade-Chamberlain says with a laugh, it feels like being “a kid in a candy shop”. He is ...
Remote sensing imagery is dense with objects and contextual visual information. There is a recent trend to combine paired satellite images and text captions for pretraining performant encoders for ...
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