Zobrazeno 1 - 10 of 182 pro vyhledávání: '"Miguel Velez-Reyes"'
1
Akademický článek
Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
Autor: Bibek Aryal, Stephen M. Escarzaga, Sergio A. Vargas Zesati, Miguel Velez-Reyes, Olac Fuentes, Craig Tweedie
Publikováno v: Remote Sensing, Vol 13, Iss 22, p 4572 (2021)
Precise coastal shoreline mapping is essential for monitoring changes in erosion rates, surface hydrology, and ecosystem structure and function. Monitoring water bodies in the Arctic National Wildlife Refuge (ANWR) is of high importance, especially c
Externí odkaz: https://doaj.org/article/72db7bdf46df409681f6ce7218ef9a4b
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2
Akademický článek
Improved Spatial-Spectral Superpixel Hyperspectral Unmixing
Autor: Mohammed Q. Alkhatib, Miguel Velez-Reyes
Publikováno v: Remote Sensing, Vol 11, Iss 20, p 2374 (2019)
In this paper, an unsupervised unmixing approach based on superpixel representation combined with regional partitioning is presented. A reduced-size image representation is obtained using superpixel segmentation where each superpixel is represented b
Externí odkaz: https://doaj.org/article/4de1fed4881946608b3f08237c23eeed
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6
Data summarization for hyperspectral image analysis
Autor: Mohammed Q. Alkhatib, Miguel Velez-Reyes, Maher Aldeghlawi
Publikováno v: Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII.
This paper explores data summarization methods to find reduced size representations of hyperspectral data. Operating on the small size summary reduces computational requirement further up in the image processing chain. We look into how to construct s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dd2ff10883f28d141719b2de238424e2
https://doi.org/10.1117/12.2590762
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7
Modeling and Applications of Hyperspectral Imaging
Autor: Miguel Velez-Reyes
Publikováno v: SPIE Future Sensing Technologies.
Hyperspectral imagers collect images at a very high spectral resolution in a contiguous region of the electromagnetic spectrum. These signals contain spectral, spatial and, potentially, temporal information about the scene of interest. Different math
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::448efcd33d00ce6267cfe0c1bfd1c4f7
https://doi.org/10.1117/12.2583745
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8
Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery
Autor: Mohammed Q. Alkhatib, Miguel Velez-Reyes
Publikováno v: ICIP
This paper explores the use of unsupervised band subset selection (BSS) methods as a dimensionality reduction preprocessing stage in SLIC superpixel segmentation (BSSSLIC). Several methods for column subset selection (CSS) are used for unsupervised b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6189b7feb2cf3905e95924de116e5533
https://doi.org/10.1109/icip40778.2020.9190710
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