A novel Re-parameterization Large kernel Convolution Network for Change Detection (CD-RLKNet) is proposed.

Jun 14, 2024 · In land cover change detection tasks, extracting universal features of changing targets is crucial for achieving precise detection results.

Jun 17, 2024 · Remote sensing image change detection method plays a great role in land cover research, disaster assessment, medical diagnosis, video ...

Large Kernel Convolution Application for Land Cover Change Detection of Remote Sensing Images. https://doi.org/10.2139/ssrn.4865848. Journal: 2024. Publisher ...

Large kernel convolution application for land cover change detection of remote sensing images. https://doi.org/10.1016/j.jag.2024.104077.

Dive into the research topics of 'Large kernel convolution application for land cover change detection of remote sensing images'. Together they form a unique ...

Aug 26, 2024 · Studies from Faculty of Applied Sciences Describe New Findings in Remote Sensing (Large kernel convolution application for land cover change detection of ...

Aug 16, 2024 · The decoder utilizes dilated convolution to expand the receptive field, enhancing the model's ability to capture global features and thus ...

This module uses spatial attention and channel attention modules based on a large-kernel convolution selection mechanism to perform hybrid processing on the ...

Jun 23, 2024 · LSKNet can dynamically adjust its large spatial receptive field to better model the ranging context of various objects in remote sensing ...