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When querying and purchasing satellite remote sensing images, the keywords 'scene' and 'cloud cover' frequently appear. In ...
Abstract: Focusing on the semantic gap problem of "large intra-class differences and small inter-class differences" caused by the complex background and scale variations of interest targets in remote ...
What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet ...
Hi @yfq512 - we do not keep the models trained on geo bench as they are quick to replicate - often with < 1 hr of training. The iSAID, DIOR models cannot be distributed as they have an academic only ...
Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...
Diff-Transformer: Heterogeneous Feature Fusion Network for Multisource Remote Sensing Classification
Abstract: Multimodal remote sensing image classification has emerged as a key research area in remote sensing, with extensive applications in real-world scenarios. However, these images are collected ...
1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...
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