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Multivector Sparse Representation for Multispectral Images Using Geometric Algebra
IEEE Access, 2019 Multispectral images can provide more faithful representations for real scenes than the traditional images and improve the performance of image restoration tasks. In this paper, we propose a novel multivector sparse representation model for multispectral
Rui Wang, Miaomiao Shen, Wenming Cao
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EFFECT OF PANSHARPENED IMAGE ON SOME OF PIXEL BASED AND OBJECT BASED CLASSIFICATION ACCURACY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Classification is the most important method to determine type of crop contained in a region for agricultural planning. There are two types of the classification. First is pixel based and the other is object based classification method.
P. Karakus, H. Karabork
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FTFNet: Multispectral Image Segmentation
Journal of Low Power Electronics and Applications, 2023 Semantic segmentation is a machine learning task that is seeing increased utilization in multiple fields, from medical imagery to land demarcation and autonomous vehicles.
Justin Edwards, Mohamed El-Sharkawy
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Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion
IEEE Transactions on Geoscience and Remote Sensing, 2020 Hyperspectral (HS) super-resolution, which aims at enhancing the spatial resolution of hyperspectral images (HSIs), has recently attracted considerable attention.
Yang Xu +4 more
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Multispectral thermal imaging [PDF]
SPIE Proceedings, 1998 Many remote sensing applications rely on imaging spectrometry. Here the authors use imaging spectrometry for thermal and multispectral signatures measured from a satellite platform enhanced with a combination of accurate calibrations and on-board data for correcting atmospheric distortions. The approach is supported by physics-based end-to-end modeling
Weber, P. G. +7 more
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Geodesy and Cartography, 2023 Pan Sharpening is normally applied to sharpen a multispectral image with low resolution by using a panchromatic image with a higher resolution, to generate a high resolution multispectral image.
Komeil Rokni
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Inexpensive multispectral imaging device
Instrumentation Science & Technology, 2022 Multi/hyperspectral imaging is an important technique to obtain color data and spectral monitoring. It is a precise remote sensing technique that includes two or more bands in the visible and invisible spectrum. This study demonstrates the design and construction of a low-cost, multispectral imaging system using a single linear array sensor and a ...
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Pansharpening techniques to detect mass monument damaging in Iraq [PDF]
, 2017 The recent mass destructions of monuments in Iraq cannot be monitored with the terrestrial survey methodologies, for obvious reasons of safety. For the same reasons, it’s not advisable the use of classical aerial photogrammetry, so it was obvious to ...
Baiocchi, Valerio +3 more
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Biomimetics, 2023 In this work, we demonstrated a new type of biomimetic multispectral curved compound eye camera (BM3C) inspired by insect compound eyes for aerial multispectral imaging in a large field of view.
Yuanjie Zhang +5 more
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An Improved Pulse-Coupled Neural Network Model for Pansharpening
Sensors, 2020 Pulse-coupled neural network (PCNN) and its modified models are suitable for dealing with multi-focus and medical image fusion tasks. Unfortunately, PCNNs are difficult to directly apply to multispectral image fusion, especially when the spectral ...
Xiaojun Li +4 more
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