4 papers
Dual Modality Prompted Diffusion Priors for Zero Shot Hyperspectral Pansharpening
Pengwei Xie, Fei Zhu, Jiajun Li +3
Hyperspectral pansharpening aims to reconstruct a high resolution hyperspectral (HRHS) image from a panchromatic (PAN) image and a low resolution hyperspectral (LRHS) image while p…
GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening
Fangyi Li, Xiaoyuan Yang, Yixiao Li +3
Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) and panchromatic (PAN) observations. Most existing deep lea…
Bridging the RGB-IR Gap: Consensus and Discrepancy Modeling for Text-Guided Multispectral Detection
Jiaqi Wu, Zhen Wang, Enhao Huang +5
Text-guided multispectral object detection uses text semantics to guide semantic-aware cross-modal interaction between RGB and IR for more robust perception. However, notable limit…
A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches
Kangqing Shen, Gemine Vivone, Xiaoyuan Yang +2
Synthetic aperture radar (SAR) images are widely used in remote sensing. Interpreting SAR images can be challenging due to their intrinsic speckle noise and grayscale nature. To ad…