Spectral Diversity Enhancement for Pansharpening
2018 25th IEEE International Conference on Image Processing (ICIP), 2018Pansharpening is to generate a synthetic image with high spatial resolution and high spectral resolution via fusing panchromatic (PAN) and multispectral (MS) images. In most traditional pansharpening methods, the original MS image is firstly interpolated to the same size of PAN image by analytical interpolations.
Liangyu Zhou +3 more
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High-Fidelity Pansharpening via Trigeminal Pyramid Decoding of CNN-Transformer Encoded Features
IEEE Transactions on Geoscience and Remote SensingSpectral and spatial fidelity remains a longstanding challenge in the field of pansharpening, which aims to generate high-resolution multispectral (HRMS) images by integrating high-resolution panchromatic (PAN) images with low-resolution multispectral ...
Lihui Chen +5 more
semanticscholar +1 more source
A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingOver the past decades, pansharpening technologies have received much attention due to the spatial detail enhancement they introduce into multispectral (MS) images by referencing them to panchromatic images (PAN).
Hailiang Lu +5 more
semanticscholar +1 more source
Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control
IEEE Transactions on Geoscience and Remote SensingHyperspectral (HS) pansharpening has received much attention in recent years due to technological and methodological advances that open the door to new application scenarios. However, research on this topic is only now gaining momentum.
Giuseppe Guarino +4 more
semanticscholar +1 more source
Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
Computer Vision and Pattern RecognitionHyperspectral pansharpening refers to fusing a panchromatic image (PAN) and a low-resolution hyperspectral image (LR-HSI) to obtain a high-resolution hyperspectral image (HR-HSI).
Jin-Liang Xiao +6 more
semanticscholar +1 more source
Empower Generalizability for Pansharpening Through Text-Modulated Diffusion Model
IEEE Transactions on Geoscience and Remote SensingPansharpening is crucial to remote sensing applications by fusing high-resolution (HR) panchromatic (PAN) images with low-resolution multispectral (LRMS) images to generate HR multispectral (HRMS) images.
Yinghui Xing +5 more
semanticscholar +1 more source
Affinity Pansharpening and Image Fusion
2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014A novel framework for enhancing the resolution of a low-resolution multispectral or hyperspectral image using a high resolution panchromatic image or multispectral image is proposed in this paper. This framework can be further used to perform more general types of image fusion.
Stephen Tierney, Junbin Gao, Yi Guo
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Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening
Computer Vision and Pattern RecognitionPansharpening aims at integrating complementary information from panchromatic and multispectral images. Available deep-learning based pansharpening methods typically perform exceptionally with particular satellite datasets.
Yinghui Xing +5 more
semanticscholar +1 more source
Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening
arXiv.orgPansharpening, a pivotal task in remote sensing for fusing high-resolution panchromatic and multispectral imagery, has garnered significant research interest. Recent advancements employing diffusion models based on stochastic differential equations (SDEs)
Zihan Cao, Yu Zhong, Liang-Jian Deng
semanticscholar +1 more source
Cross-Modal Contrastive Pansharpening via Uncertainty Guidance
IEEE Transactions on Geoscience and Remote SensingDeep learning (DL)-based pansharpening has been widely applied in high-resolution imaging. Yet, artifacts related to generalization and oversmoothing have continuously been the challenge, primarily due to the mismatch between the simulation dataset and ...
Haoying Zeng +5 more
semanticscholar +1 more source

