A new spectral and spatial framework for detecting buildings with special roofing in hyperspectral images

Autor: Davood Akbari

Publikováno v: Egyptian Journal of Remote Sensing and Space Sciences, Vol 25, Iss 3, Pp 795-801 (2022)

One of the analyses in hyperspectral images is target detection. With recent developments and the creation of high spatial resolution images, the need to use both spectral and spatial information in the target detection has increased. Recently, an ef

Externí odkaz: https://doaj.org/article/64d0f7fe733443c987ba61419045bed4

Centralized Multi-Hop Routing Based on Multi-Start Minimum Spanning Forest Algorithm in the Wireless Sensor Networks

Autor: Rencheng Jin, Xiaolei Fan, Ting Sun

Publikováno v: Sensors, Vol 21, Iss 5, p 1775 (2021)

Wireless sensor networks (WSNs) are widely applied in environmental monitoring, target tracking, military, and industrial fields. However, the battery energy of sensor nodes in WSNs is limited, which limits its development. Previous studies have show

Externí odkaz: https://doaj.org/article/e1650a6eaa2142ee980495cab9f80d5f

MASTIFF: structure-aware minimum spanning tree/forest

Autor: Peter Kilpatrick, Hans Vandierendonck, Mohsen Koohi Esfahani

Publikováno v: Koohi Esfahani, M, Kilpatrick, P & Vandierendonck, H 2022, MASTIFF: structure-aware minimum spanning tree/forest . in Proceedings of the 36th ACM International Conference on Supercomputing, ICS 2022 ., 9, ACM International Conference on Supercomputing: Proceedings, Association for Computing Machinery, 36th ACM International Conference on Supercomputing, virtual, online, 28/06/2022 . https://doi.org/10.1145/3524059.3532365

The Minimum Spanning Forest (MSF) problem finds usage in many different applications. While theoretical analysis shows that linear-time solutions exist, in practice, parallel MSF algorithms remain computationally demanding due to the continuously inc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3c91aba25805a40f130055033736f7f
https://pure.qub.ac.uk/en/publications/456f85fe-6f36-4d50-a61d-2ee0feb97265

An Effective Feature Segmentation Algorithm for a Hyper-Spectral Facial Image

Autor: Yuefeng Zhao, Mengmeng Wu, Liren Zhang, Jingjing Wang, Dongmei Wei

Publikováno v: Information, Vol 9, Iss 10, p 261 (2018)

The human face as a biometric trait has been widely used for personal identity verification but it is still a challenging task under uncontrolled conditions. With the development of hyper-spectral imaging acquisition technology, spectral properties w

Externí odkaz: https://doaj.org/article/8654f6dbc6014835abad3010c2c95f15

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