Results 11 to 20 of about 345,137 (201)
Quality criteria benchmark for hyperspectral imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2005 Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community. Efficient compression techniques are required, and lossy compression, specifically, will have a role to play ...
Christophe, Emmanuel +2 more
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Illumination invariance and shadow compensation on hyperspectral images [PDF]
, 2014 To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
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Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery [PDF]
, 2013 With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui +3 more
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Superpixel Estimation for Hyperspectral Imagery [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014 In the past decade, there has been a growing need for machine learning and computer vision components (segmentation, classification) in the hyperspectral imaging domain. Due to the complexity and size of hyperspectral imagery and the enormous number of wavelength channels, the need for combining compact representations with image segmentation and ...
Pegah Massoudifar +2 more
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Distributed Compressed Hyperspectral Sensing Imaging Based on Spectral Unmixing
Sensors, 2020 The huge volume of hyperspectral imagery demands enormous computational resources, storage memory, and bandwidth between the sensor and the ground stations.
Zhongliang Wang, Hua Xiao
doaj +1 more source
An Efficient Method for Generating UAV-Based Hyperspectral Mosaics Using Push-Broom Sensors
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Hyperspectral sensors mounted in unmanned aerial vehicles offer new opportunities to explore high-resolution multitemporal spectral analysis in remote sensing applications.
Jurado Rodriguez JuanManuel +4 more
doaj +1 more source
Color Display for Hyperspectral Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2008 This paper investigates RGB color composition schemes for hyperspectral imagery display. A three-channel composite inevitably loses a significant amount of information contained in the original high-dimensional data. The objective here is to display the useful information as distinctively as possible for high-class separability.
Qian Du 0001 +3 more
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Effective classification of Chinese tea samples in hyperspectral imaging [PDF]
, 2013 Maximum likelihood and neural classifiers are two typical techniques in image classification. This paper investigates how to adapt these approaches to hyperspectral imaging for the classification of five kinds of Chinese tea samples, using visible light ...
Ren, Jinchang +2 more
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On the evaluation of synthetic hyperspectral imagery [PDF]
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009 In developing algorithms that exploit model-generated data, it is important to understand the realism of the data generated by that model. One way to address this issue is to exercise a well understood, yet diverse process, that will help draw out the strengths and weaknesses of the data generation system. We accomplish this by using a typical chain of
Mendenhall, Michael J. +1 more
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Restoration and Calibration of Tilting Hyperspectral Super-Resolution Image
Sensors, 2020 Tilting sampling is a novel sampling mode for achieving a higher resolution of hyperspectral imagery. However, most studies on the tilting image have only focused on a single band, which loses the features of hyperspectral imagery.
Xizhen Zhang +4 more
doaj +1 more source