Results 201 to 210 of about 4,917 (234)

FSGformer: Frequency Separation and Guidance Transformer for Pansharpening

IEEE Transactions on Geoscience and Remote Sensing
Pansharpening is a crucial task in remote sensing image processing, aiming to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) images with high-resolution panchromatic (PAN) images.
Qian Liu, Xiangyu Zhao, You Qin, Lanyu Li, Junmin Liu   +4 more
semanticscholar   +1 more source

SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening

Neural Information Processing Systems
Pansharpening is a significant image fusion technique that merges the spatial content and spectral characteristics of remote sensing images to generate high-resolution multispectral images.
Yu Zhong, Xiao Wu, Liang-Jian Deng, Zihan Cao   +3 more
semanticscholar   +1 more source

Pansharpening Based on Semiblind Deconvolution

IEEE Transactions on Geoscience and Remote Sensing, 2015
Many powerful pansharpening approaches exploit the functional relation between the fusion of PANchromatic (PAN) and MultiSpectral (MS) images. To this purpose, the modulation transfer function of the MS sensor is typically used, being easily approximated as a Gaussian filter whose analytic expression is fully specified by the sensor gain at the Nyquist
VIVONE, GEMINE, Miguel Simoes, Mauro Dalla Mura, RESTAINO, Rocco, Jose M. Bioucas Dias, Giorgio A. Licciardi, Jocelyn Chanussot   +6 more
openaire   +3 more sources

Hyperspectral Pansharpening With Guided Filter

IEEE Geoscience and Remote Sensing Letters, 2017
A new hyperspectral (HS) pansharpening method based on guided filter is proposed in this letter. The proposed method, which obtains the spatial detail difference of each band successively, is different from the traditional component substitution method. The detail information of each band is extracted at first.
Jiahui Qu, Yunsong Li, Wenqian Dong
openaire   +1 more source

Transformer-Ensemble-Based Implicit Spectral–Spatial Functions for Arbitrary-Resolution Hyperspectral Pansharpening

IEEE Transactions on Geoscience and Remote Sensing
Arbitrary-resolution hyperspectral (ARHS) pansharpening seeks to enhance hyperspectral (HS) images to any desired spatial resolutions by integrating HS images with their connected panchromatic (PAN) images, which is obviously different from standard HS ...
Lin He, Hanghui Ye, Jun Li, A. Plaza
semanticscholar   +1 more source

FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask

AAAI Conference on Artificial Intelligence
Currently, most Hyperspectral (HS) pansharpening methods have two problems, namely the lack of consideration the spatial variations of HS images and inaccurate feature reconstruction in multi-channel complex mapping relationships, leading to spectral and
Xiaozheng Wang, Yong Yang, Shuying Huang, Hangyuan Lu, Weiguo Wan, Aoqi Zhao   +5 more
semanticscholar   +1 more source

Pansharpening and image quality interface

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
Pansharpening techniques increase the spatial resolution of multispectral images and also simultaneously preserve the spectral information in the multispectral data. Pansharpening is also expressed as resolution merge, image integration, and multisensor data fusion.
V. Vijayaraj, C.G. O'Hara, N.H. Younan
openaire   +1 more source

Deep Variational Network for Blind Pansharpening

IEEE Transactions on Neural Networks and Learning Systems
Deep-learning-based methods play an important role in pansharpening that uses panchromatic images to enhance the spatial resolution of multispectral images while maintaining spectral features. However, most existing methods mainly consider only one fixed degradation in the training process.
Zhiyuan Zhang, Haoxuan Li, Chengjie Ke, Jun Chen, Xin Tian   +4 more
openaire   +2 more sources

PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening

International Joint Conference on Artificial Intelligence
Pansharpening combines panchromatic and low-resolution multispectral images to generate high-resolution multispectral images. Previous studies have explored the connection between pansharpening and the frequency domain, but mostly in the real-valued ...
Chunhui Luo, Dong Li, Xiaoliang Ma, Xin Lu, Zhiyuan Wang, Jiangtong Tan, Xueyang Fu   +6 more
semanticscholar   +1 more source

Feature Interaction and Adaptive Fusion Network With Spectral Modulation for Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pansharpening aims to reconstruct high-resolution multispectral (HRMS) images from low-resolution multispectral (LRMS) images and high-resolution panchromatic (PAN) data. In recent years, deep learning development has spurred the evolution of data-driven
Lihua Jian, Jiabo Liu, Lihui Chen, Di Zhang, G. Vivone, Xichuan Zhou   +5 more
semanticscholar   +1 more source