Results 171 to 180 of about 1,701 (201)

Pansharpening

Pansharpening is the process of using a high-resolution panchromatic image to enhance the spatial resolution of a multispectral image acquired over the same area. This technique allows high-quality multispectral images to be obtained, while significantly reducing the requirements placed on both the onboard imaging systems and the resources needed for ...
Restaino, Rocco, Vivone, Gemine
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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 0007, Faming Fang, Fang Li 0004, Guixu Zhang   +3 more
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Universal Pansharpening Model

Pansharpening generates the high-resolution multi-spectral (MS) image by integrating spatial details from a texture-rich panchromatic (PAN) image and spectral attributes from a low-resolution MS image. Existing methods are predominantly satellite-specific and scene-dependent, which severely limits their generalization across heterogeneous sensors and ...
Wang, Hebaixu, Zhang, Jing, Guo, Haonan, Wang, Di, Ma, Jiayi, Du, Bo, Zhang, Liangpei   +6 more
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Better Image Filter for Pansharpening

IEEE Transactions on Image Processing
The modulation transfer function tailored image filter (MTF-TIF) has long been regarded as the optimal filter for multispectral image pansharpening. It excels at simulating the camera's frequency response, thereby capturing finer image details and significantly improving pansharpening performance.
Anjing Guo, Renwei Dian, Nan Wang, Shutao Li 0001   +3 more
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Model-Based Reduced-Rank Pansharpening

IEEE Geoscience and Remote Sensing Letters, 2020
Observation of the Earth using satellites mounted with optical sensors is an important application of remote sensing. Owing to physical constraints, multispectral (MS) sensors acquire images of lower spatial resolution than a single-band panchromatic (PAN) sensor that acquires images of the same scene.
Frosti Palsson, Magnus O. Ulfarsson, Johannes R. Sveinsson   +2 more
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Pansharpening based on an improved ratio enhancement

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Pansharpening technique is very important for many remote sensing applications. Many fusion algorithms have been proposed to pan-sharpen multispectral (MS) images. However, there are still some spatial or spectral distortion problems in fusion result.
Xinzhi Li, Qizhi Xu, Feng Gao 0005, Lei Hu 0009   +3 more
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Vision Transformer for Pansharpening

IEEE Transactions on Geoscience and Remote Sensing, 2022
Xiangchao Meng, Nan Wang, Feng Shao 0001, Shutao Li 0001   +3 more
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Hyperspectral pansharpening based on unmixing techniques

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015
Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resolution of the latter. In the last decade many pansharpening algorithms have been presented in the literature using multispectral data.
Laëtitia Loncan, Jocelyn Chanussot, Sophie Fabre, Xavier Briottet   +3 more
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Spectrally Consistent Pansharpening

2008
Several widely used methods have been proposed for fusing high resolution panchromatic data and lower resolution multi-channel data. However, many of these methods fail to maintain spectral consistency of the fused high resolution image, which is of high importance to many of the applications based on satellite data.
Ari Vesteinsson, Henrik Aanaes, Johannes R. Sveinsson, Jon Atli Benediktsson   +3 more
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Bidomain Modeling Paradigm for Pansharpening

Proceedings of the 31st ACM International Conference on Multimedia, 2023
Junming Hou, Qi Cao, Ran Ran 0001, Che Liu 0004, Junling Li, Liang-Jian Deng   +5 more
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