Results 11 to 20 of about 735,608 (236)

Collaborative sparse reconstruction for pan-sharpening [PDF]

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced “sparsify”) algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (J-SparseFI) algorithm by exploiting the possible signal structural correlations between different multispectral channels. The algorithm is evaluated using airborne UltraCam data.
Xiaoxiang Zhu 0001, Claas Grohnfeldt, Richard Bamler   +2 more
core   +7 more sources

A Two-Stream Multiscale Deep Learning Architecture for Pan-Sharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Pan-sharpening, which fuses the high-resolution panchromatic (PAN) image and the low-resolution multispectral image (MSI), is a hot topic in remote sensing. Recently, deep learning technology has been successfully applied in pan-sharpening.
Jie Wei, Yang Xu, Wanting Cai, Zebin Wu, Jocelyn Chanussot, Zhihui Wei   +5 more
doaj   +2 more sources

UPSNet: Unsupervised Pan-Sharpening Network With Registration Learning Between Panchromatic and Multi-Spectral Images

IEEE Access, 2020
Recent advances in deep learning have shown impressive performances for pan-sharpening. Pan-sharpening is the task of enhancing the spatial resolution of a multi-spectral (MS) image by exploiting the high-frequency information of its corresponding ...
Soomin Seo, Jae-Seok Choi, Jaehyup Lee, Hyun-Ho Kim, Doochun Seo, Jaeheon Jeong, Munchurl Kim   +6 more
doaj   +2 more sources

Learning to Pan-Sharpening with Memories of Spatial Details

, 2023
Pan-sharpening, as one of the most commonly used techniques in remote sensing systems, aims to inject spatial details from panchromatic images into multispectral images (MS) to obtain high-resolution multispectral images. Since deep learning has received widespread attention because of its powerful fitting ability and efficient feature extraction, a ...
Maoxun Yuan, Tianyi Zhao 0003, Bo Li 0006, Xingxing Wei 0001   +3 more
core   +5 more sources

Compressive Sensing for Pan Sharpening [PDF]

, 2011
Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1]. In this paper, the proposed SparseFI algorithm is validated using UltraCam and WorldView-2 data.
Wang, Xuan, Zhu, Xiao Xiang, Bamler, Richard, Makarau, Aliaksei   +3 more
core   +7 more sources

Linearly-evolved Transformer for Pan-sharpening [PDF]

Proceedings of the 32nd ACM International Conference on Multimedia
Vision transformer family has dominated the satellite pan-sharpening field driven by the global-wise spatial information modeling mechanism from the core self-attention ingredient. The standard modeling rules within these promising pan-sharpening methods are to roughly stack the transformer variants in a cascaded manner.
Junming Hou, Zihan Cao, Naishan Zheng, Xuan Li 0012, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Danfeng Hong, Man Zhou 0003   +8 more
core   +5 more sources

Reverse degradation for remote sensing pan-sharpening

International Journal of Applied Earth Observations and Geoinformation
Accurate pan-sharpening of multispectral images is essential for high-resolution remote sensing, yet supervised methods are limited by the need for paired training data and poor generalization.
Jiang He, Xiao Xiang Zhu
doaj   +2 more sources

Context-Sensitive Pan-Sharpening of Multispectral Images

, 2007
Multiresolution analysis (MRA) and component substitution (CS) are the two basic frameworks to which image fusion algorithms can be reported when merging multi-spectral (MS) and panchromatic (Pan) images (Pan-sharpening). State-of-the-art algorithms add spatial details derived from the Pan image to the MS bands according to an injection model.
Aiazzi B, Alparone A, Baronti S, Garzelli A, Lotti F, Nencini F, Selva M   +6 more
openaire   +4 more sources

Fast, simple, and good pan-sharpening method [PDF]

Journal of Applied Remote Sensing, 2013
Pan-sharpening of optical remote sensing multispectral imagery aims to include spa- tial information from a high-resolution image (high frequencies) into a low-resolution image (low frequencies) while preserving spectral properties of a low-resolution image.
Palubinskas, Gintautas
openaire   +4 more sources

Quantitative Assessment of Transformation Based Satellite Image Pan-sharpening Algorithms [PDF]

Journal of Electrical and Computer Engineering Innovations, 2020
Background and Objectives: Pan-sharpening algorithms integrate the spectral capabilities of the multispectral imagery with the spatial details of the panchromatic one to obtain a product with confident spectral and spatial resolutions.
F. Tabib Mahmoudi, A. Karami
doaj   +1 more source