4 papers
DMAConv: Dual Mask-Adaptive Convolution for Remote Sensing Pansharpening
Xianghong Xiao, Zeyu Xia, Zhou Fei +3
Pansharpening aims to fuse a high-resolution panchromatic image with a low-resolution multispectral image. Existing deep learning methods, including recent adaptive convolutions, s…
Training and Inference within 1 Second -- Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring
Tianyu Xin, Jin-Liang Xiao, Zeyu Xia +2
Deep learning methods for pansharpening have advanced rapidly, yet models pretrained on data from a specific sensor often generalize poorly to data from other sensors. Existing met…
SWIFT: A General Sensitive Weight Identification Framework for Fast Sensor-Transfer Pansharpening
Zeyu Xia, Chenxi Sun, Tianyu Xin +3
Pansharpening aims to fuse high-resolution panchromatic (PAN) images with low-resolution multispectral (LRMS) images to generate high-resolution multispectral (HRMS) images. Althou…
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data
Tianyu Xin, Jin-Liang Xiao, Zeyu Xia +2
Pansharpening is a crucial remote sensing technique that fuses low-resolution multispectral (LRMS) images with high-resolution panchromatic (PAN) images to generate high-resolution…