Results 31 to 40 of about 35,844 (297)
Peanut maturity classification using hyperspectral imagery
Biosystems Engineering, 2019 Seed maturity in peanut (Arachis hypogaea L.) determines economic return to a producer because of its impact on seed weight (yield), and critically influences seed vigor and other quality characteristics. During seed development, the inner mesocarp layer of the pericarp (hull) transitions in color from white to black as the seed matures.
Sheng Zou +5 more
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Hyperspectral imagery for trafficability analysis [PDF]
1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339), 2002 This paper presents a summary of a project assessing the utility of hyperspectral imagery to determine cross-country trafficability in support of military operations. Hyperspectral imagery offers new capabilities to assess cross-country trafficability remotely. Development of recommended methodologies and procedures is the major thrust of this research.
A. Johnson, E. Windesheim, J. Brockhaus
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MATEC Web of Conferences, 2018 The research of anomaly target detection algorithm in hyperspectral imagery is a hot issue, which has important research value. In order to overcome low efficiency of current anomaly target detection in hyperspectral image, an anomaly detection algorithm
Baozhi Cheng
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Customizing kernel functions for SVM-based hyperspectral image classification [PDF]
, 2008 Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Baofeng Guo +4 more
core +2 more sources
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 +3 more
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FUSION OF HYPERSPECTRAL, MULTISPECTRAL, COLOR AND 3D POINT CLOUD INFORMATION FOR THE SEMANTIC INTERPRETATION OF URBAN ENVIRONMENTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 In this paper, we address the semantic interpretation of urban environments on the basis of multi-modal data in the form of RGB color imagery, hyperspectral data and LiDAR data acquired from aerial sensor platforms.
M. Weinmann, M. Weinmann
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Classification of Different Winter Wheat Cultivars on Hyperspectral UAV Imagery
Applied Sciences, 2023 Crop phenotype observation techniques via UAV (unmanned aerial vehicle) are necessary to identify different winter wheat cultivars to better realize their future smart productions and satisfy the requirement of smart agriculture.
Xiaoxuan Lyu +5 more
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Gradients in urban material composition: A new concept to map cities with spaceborne imaging spectroscopy data [PDF]
, 2019 To understand processes in urban environments, such as urban energy fluxes or surface temperature patterns, it is important to map urban surface materials. Airborne imaging spectroscopy data have been successfully used to identify urban surface materials
Feilhauer, Hannes +3 more
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Remote Sensing, 2014 Hyperspectral imagery of a vertical mine face acquired from a field-based platform is used to evaluate the effects of different conditions of illumination on absorption feature parameters wavelength position, depth and width.
Richard J. Murphy +2 more
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TREE SPECIES RECOGNITION IN SPECIES RICH AREA USING UAV-BORNE HYPERSPECTRAL IMAGERY AND STEREO-PHOTOGRAMMETRIC POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Recognition of tree species and geospatial information of tree species composition is essential for forest management. In this study we test tree species recognition using hyperspectral imagery from VNIR and SWIR camera sensors in combination with 3D ...
S. Tuominen +8 more
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