Zobrazeno 1 - 10
of 4 439
pro vyhledávání: '"Endmember"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-42 (2024)
Abstract Based on double-compressed sampling, a hyperspectral spectral unmixing algorithm (SU_DCS) is proposed, which could directly complete the endmember extraction and abundance estimation. On the basis of the linear mixed model (LMM), we designed
Externí odkaz:
https://doaj.org/article/cd9f68fea0994785a5e54725d0bd7f51
Publikováno v:
Geology, Ecology, and Landscapes, Vol 8, Iss 3, Pp 223-240 (2024)
Iron plays an important role in industrial and engineering fields development of a country and as such there is an enormous demand for iron in Ethiopia. However, a search for this valuable primary mineral resource exploration remains challenging and
Externí odkaz:
https://doaj.org/article/5664ca61bfa140149b3ed493bd466bf6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2531-2542 (2024)
Hyperspectral unmixing is to decompose the mixed pixel into the spectral signatures (endmembers) with their corresponding abundances. However, the ignorance of endmember variability in hyperspectral unmixing results in low performance. To solve this
Externí odkaz:
https://doaj.org/article/5e14d9baa3ec4eb29b6195369719ca3c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 732-747 (2024)
In recent years, the introduction of multiobjective evolutionary algorithms (MOEAs) into the field of endmember extraction (EE) in hyperspectral unmixing has demonstrated a breadth of results that surpass those derived from single-objective-based met
Externí odkaz:
https://doaj.org/article/189fa01bf36d4022bdb5197511da2ade
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3351 (2024)
The glacier surface is composed not only of ice or snow but also of a heterogeneous mixture of various materials. The presence of light-absorbing impurities darkens the glacier surface, reducing local reflectance and thereby accelerating the glacier
Externí odkaz:
https://doaj.org/article/bb123cc77feb465999905b3d1c80f598
Akademický článek
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Akademický článek
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Publikováno v:
Forests, Vol 15, Iss 7, p 1179 (2024)
The endmember spectrum method can improve image classification quality based on the spectral features of pure pixels in remote sensing images. The CART (Classification and Regression Tree) is a powerful machine learning algorithm that can also be use
Externí odkaz:
https://doaj.org/article/a3e0b9f5e0aa42318f2cd62c602ccc45
Autor:
John Waczak, Adam Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Ashen Fernando, Prabuddha M. H. Dewage, Mazhar Iqbal, Matthew Lary, David Schaefer, Gokul Balagopal, David J. Lary
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2430 (2024)
Unmanned aerial vehicles equipped with hyperspectral imagers have emerged as an essential technology for the characterization of inland water bodies. The high spectral and spatial resolutions of these systems enable the retrieval of a plethora of opt
Externí odkaz:
https://doaj.org/article/fd783ffd3c6d487280b4ee8541382ea3
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2137 (2024)
Hyperspectral imaging systems (HSIs) are becoming widespread in the mining industry for mineral classification. The spectral features detectable from near infrared to long-wave infrared make HSIs a potentially efficient tool for exploration, clay map
Externí odkaz:
https://doaj.org/article/c89f8dba45ce446488af53f100fc0cd5