Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Bormin Huang"'
Publikováno v:
IEEE Access, Vol 8, Pp 106910-106923 (2020)
Recent studies have shown that wireless mesh networks (WMNs) can be cheap, reliable, and efficient solutions for Internet of Things (IoTs) applications and connected devices. However, the increase in the size of the WMNs could lead to a degradation i
Externí odkaz:
https://doaj.org/article/bf221fd5960d42cd84d23f14ab855fc2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2304-2320 (2020)
Hyperspectral compressed sensing (HCS) based on spectral unmixing technique has shown great reconstruction performance. In particular, the linear mixed model (LMM) has been widely used in HCS reconstruction. However, due to the complexity of environm
Externí odkaz:
https://doaj.org/article/57fb7d6dcf2f432cb319e20ccca7a4d7
Autor:
Chia-Cheng Yeh, Yang-Lang Chang, Mohammad Alkhaleefah, Pai-Hui Hsu, Weiyong Eng, Voon-Chet Koo, Bormin Huang, Lena Chang
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 127 (2021)
Due to the large data volume, the UAV image stitching and matching suffers from high computational cost. The traditional feature extraction algorithms—such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Oriented
Externí odkaz:
https://doaj.org/article/6477b4f6972b477fa8b3e05c4e7d67a2
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 85 (2020)
The dark channel prior (DCP)-based single image removal algorithm achieved excellent performance. However, due to the high complexity of the algorithm, it is difficult to satisfy the demands of real-time processing. In this article, we present a Grap
Externí odkaz:
https://doaj.org/article/ebd5f142e770419ba0ff89321d985f4f
Autor:
Mohammad Alkhaleefah, Shang-Chih Ma, Yang-Lang Chang, Bormin Huang, Praveen Kumar Chittem, Vishnu Priya Achhannagari
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3999 (2020)
Differentiation between benign and malignant breast cancer cases in X-ray images can be difficult due to their similar features. In recent studies, the transfer learning technique has been used to classify benign and malignant breast cancer by fine-t
Externí odkaz:
https://doaj.org/article/8c6c549ad7db4dc085e8bce6a786a859
Publikováno v:
Remote Sensing, Vol 8, Iss 12, p 1011 (2016)
Abstract: Real-time anomaly detection has received wide attention in remote sensing image processing because many moving targets must be detected on a timely basis. A widely-used anomaly detection algorithm is the Reed-Xiaoli (RX) algorithm that was
Externí odkaz:
https://doaj.org/article/48508399fcab49eca9b1fa8fa78c7aaf
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2304-2320 (2020)
Hyperspectral compressed sensing (HCS) based on spectral unmixing technique has shown great reconstruction performance. In particular, the linear mixed model (LMM) has been widely used in HCS reconstruction. However, due to the complexity of environm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::116025f77e06fa4e1134dc10bcfa7ebd
https://ieeexplore.ieee.org/document/9094327/
https://ieeexplore.ieee.org/document/9094327/
Publikováno v:
IEEE Access, Vol 8, Pp 106910-106923 (2020)
Recent studies have shown that wireless mesh networks (WMNs) can be cheap, reliable, and efficient solutions for Internet of Things (IoTs) applications and connected devices. However, the increase in the size of the WMNs could lead to a degradation i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3721986b031cd58f4d6fc5c4d20fa6fa
https://ieeexplore.ieee.org/document/9110606/
https://ieeexplore.ieee.org/document/9110606/
Publikováno v:
Remote Sensing, Vol 13, Iss 85, p 85 (2021)
Remote Sensing
Volume 13
Issue 1
Remote Sensing
Volume 13
Issue 1
The dark channel prior (DCP)-based single image removal algorithm achieved excellent performance. However, due to the high complexity of the algorithm, it is difficult to satisfy the demands of real-time processing. In this article, we present a Grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e70859552506180ea0f2350f3bcf90ff
https://www.mdpi.com/2072-4292/13/1/85
https://www.mdpi.com/2072-4292/13/1/85
Autor:
Voon Chet Koo, Lena Chang, Mohammad Alkhaleefah, Chia Cheng Yeh, Weiyong Eng, Bormin Huang, Yang-Lang Chang, Pai-Hui Hsu
Publikováno v:
Remote Sensing; Volume 13; Issue 1; Pages: 127
Remote Sensing, Vol 13, Iss 127, p 127 (2021)
Remote Sensing, Vol 13, Iss 127, p 127 (2021)
Due to the large data volume, the UAV image stitching and matching suffers from high computational cost. The traditional feature extraction algorithms—such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Oriented
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33f80a1ea6b01e3b72a0ba7e65bac945