Results 171 to 180 of about 4,917 (234)

High-Quality Bayesian Pansharpening

IEEE Transactions on Image Processing, 2019
Pansharpening is a process of acquiring a multi-spectral image with high spatial resolution by fusing a low resolution multi-spectral image with a corresponding high resolution panchromatic image. In this paper, a new pansharpening method based on the Bayesian theory is proposed.
Tingting Wang, Faming Fang, Fang Li, Guixu Zhang   +3 more
openaire   +2 more sources

Pansharpening of Mastcam images

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
This paper summarizes a new investigation of applying advanced pansharpening algorithms to enhance the images of the left imager in the Mastcam onboard the Curiosity rover, which landed on Mars in 2012. The various instruments on the rover have already made great contributions in the understanding of Mars.
C. Kwan, B. Budavari, M. Dao, B. Ayhan, J. F. Bell   +4 more
openaire   +1 more source

Adaptive Rectangular Convolution for Remote Sensing Pansharpening

Computer Vision and Pattern Recognition
Recent advancements in convolutional neural network (CNN)-based techniques for remote sensing pansharpening have markedly enhanced image quality. However, conventional convolutional modules in these methods have two critical drawbacks.
Xueyang Wang, Zhixin Zheng, Jiandong Shao, Yule Duan, Liang-Jian Deng   +4 more
semanticscholar   +1 more source

Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening

AAAI Conference on Artificial Intelligence
Pansharpening aims to combine a high-resolution panchromatic (PAN) image with a low-resolution multispectral (LRMS) image to produce a high-resolution multispectral (HRMS) image.
Jie Huang, Rui Huang, Jinghao Xu, Siran Peng, Yule Duan, Liang-Jian Deng   +5 more
semanticscholar   +1 more source

A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening

Computer Vision and Pattern Recognition
Currently, deep learning-based methods for remote sensing pansharpening have advanced rapidly. However, many existing methods struggle to fully leverage feature heterogeneity and redundancy, thereby limiting their effectiveness.
Jie Huang, Haorui Chen, Jiaxuan Ren, Siran Peng, Liangjian Deng   +4 more
semanticscholar   +1 more source

LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening

IEEE Transactions on Image Processing, 2023
Pansharpening refers to the fusion of a low spatial-resolution multispectral image with a high spatial-resolution panchromatic image. In this paper, we propose a novel low-rank tensor completion (LRTC)-based framework with some regularizers for ...
Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Jie Huang, J. Chanussot, G. Vivone   +5 more
semanticscholar   +1 more source

Cross Residual Fusion for Pansharpening

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
In this work, a deep learning approach has been developed to carry out optical remote sensing pansharpening by the fusion of high spectral and spatial information from two different sources. In the proposed approach, the combination of multimodal information is achieved at multiple levels.
Meziane Iftene, Mohammed El Amin Larabi, Mohammed Ilyas Tchenar, Khadidja Bakhti   +3 more
openaire   +1 more source

Machine Learning in Pansharpening: A benchmark, from shallow to deep networks

IEEE Geoscience and Remote Sensing Magazine, 2022
Machine learning (ML) is influencing the literature in several research fields, often through state-of-the-art approaches. In the past several years, ML has been explored for pansharpening, i.e., an image fusion technique based on the combination of a ...
Liang-Jian Deng, G. Vivone, Mercedes Eugenia Paoletti, G. Scarpa, Jiang He, Yongjun Zhang, J. Chanussot, A. Plaza   +7 more
semanticscholar   +1 more source

Low-Rank Tensor Completion Pansharpening Based on Haze Correction

IEEE Transactions on Geoscience and Remote Sensing
Pansharpening refers to the fusion between a multispectral (MS) image with abundant spectral information and a panchromatic (PAN) image with high spatial resolution to obtain a high spatial resolution MS (HRMS) image.
Peng Wang, Yiyang Su, Bo Huang, Daiyin Zhu, Wenjian Liu, A. Nedzved, V. Krasnoproshin, H. Leung   +7 more
semanticscholar   +1 more source

Pansharpening With Matting Model

IEEE Transactions on Geoscience and Remote Sensing, 2014
Pansharpening aims at creating a fused image of high spatial and spectral resolutions through merging a panchromatic (PAN) image with a multispectral (MS) image. Component substitution is the most widely used pansharpening method. However, most research in this field focuses on improving the existing component substitution-based pansharpening methods ...
null Xudong Kang, null Shutao Li, Jon Atli Benediktsson   +2 more
openaire   +1 more source