Results 11 to 20 of about 11,136 (312)
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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DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Hyperspectral imagery is a rich source of spectral information and plays very important role in discrimination of similar land-cover classes. In the past, several efforts have been investigated for improvement of hyperspectral imagery classification ...
F. Samadzadega, H. Hasani
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BINARY HYPERSPECTRAL CHANGE DETECTION BASED ON 3D CONVOLUTION DEEP LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Timely and accurate change detection of Earth’s surface features is extremely important for understanding relationships and interactions between human and natural phenomena to promote better decision making.
S. T. Seydi, M. Hasanlou
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Efficient detection in hyperspectral imagery [PDF]
IEEE Transactions on Image Processing, 2001 Hyperspectral sensors collect hundreds of narrow and contiguously spaced spectral bands of data. Such sensors provide fully registered high resolution spatial and spectral images that are invaluable in discriminating between man-made objects and natural clutter backgrounds.
Susan M. Schweizer, José M. F. Moura
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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
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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
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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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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
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PET and PVC Separation with Hyperspectral Imagery [PDF]
Sensors, 2015 Traditional plants for plastic separation in homogeneous products employ material physical properties (for instance density). Due to the small intervals of variability of different polymer properties, the output quality may not be adequate. Sensing technologies based on hyperspectral imaging have been introduced in order to classify materials and to ...
MORONI, Monica +4 more
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