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pro vyhledávání: '"Nor Rizuan Mat Noor"'
The proceeding is a collection of research papers presented at the 11th International Conference on Robotics, Vision, Signal Processing & Power Applications (RoViSP 2021). The theme of RoViSP 2021 “Enhancing Research and Innovation through the Four
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 943:012004
This paper is about Consultative Committee for Space Data System for Lossless Multispectral and Hyperspectral Image Compression (CCSDS-MHC) algorithm that is implemented on Raspberry Pi 3 Model B+ system using Open Multi-Processing (OpenMP). CCSDS-MH
Autor:
Tanya Vladimirova, Nor Rizuan Mat Noor
Publikováno v:
International Journal of Remote Sensing. 34:5072-5104
Hyperspectral sensors acquire images in many, very narrow, contiguous spectral bands throughout the visible, near-infrared IR, mid-IR and thermal IR portions of the spectrum, thus requiring large data storage on board the satellite and high bandwidth
Autor:
Nor Hayati Othman, M. Subhi Al-Batah, Mohd Yusoff Mashor, Kamal Z. Zamli, Nor Rizuan Mat Noor, Nor Ashidi Mat Isa
Publikováno v:
American Journal of Applied Sciences. 5:461-467
Clinical glass-slide capturing system is becoming an important part of telemedicine, medical database and diagnostic system that involves of microscope and image acquisition device which is digital camera. One of the areas of interest is slide captur
Autor:
Khairun Azizi Azizli, M. Subhi Al-Batah, Nor Rizuan Mat Noor, Ariffuddin Joret, Nor Ashidi Mat Isa, Kamal Z. Zamli
Publikováno v:
Construction and Building Materials. 22:402-410
Aggregates are one of the main ingredients for producing concrete. In order to produce ‘high performance’ concrete, the properties of aggregates matter most. In particular, shape and surface texture of aggregates immensely influence the strength
Autor:
Nor Rizuan Mat Noor, Tanya Vladimirova
Publikováno v:
AHS
The Karhunen-Loeve Transform (KLT) has been used as a spectral decorrelator in multi-component image compression. The Integer KLT is the integer approximation of KLT, which enables lossless hyperspectral image compression. In this paper, the effect o
Autor:
Nor Rizuan Mat Noor, Tanya Vladimirova
Publikováno v:
AHS
The Karhunen-Loeve Transform (KLT) has been used as a spectral decorrelator to compress multi-component images, such as hyperspectral images in remote sensing. However, the resultant compression is of lossy or near-lossless quality due to a non-integ
Autor:
Tanya Vladimirova, Nor Rizuan Mat Noor
Publikováno v:
Convergence and Hybrid Information Technology ISBN: 9783642240812
ICHIT (1)
ICHIT (1)
The Integer KLT algorithm is an approximation of the Karhunen-Loeve Transform that can be used as a lossless spectral decorrelator. This paper addresses the application of the Integer KLT to lossless compression of hyperspectral satellite imagery. De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ea6626c128b8c23df34f30080e5c1f
https://doi.org/10.1007/978-3-642-24082-9_80
https://doi.org/10.1007/978-3-642-24082-9_80
Autor:
Norasmadi Abdul Rahim, S. Aniza, F.M. Idris, Z. Salleh, Siti Suraiya Md Noor, Nor Rizuan Mat Noor, Habsah Hasan, A.S.W. Wahab, Mohd Yusoff Mashor
Publikováno v:
IIH-MSP
The Ziehl-Neelsen stain, also known as the acid-fast stain, was first described by two German doctors; Franz Ziehl (1859 to 1926), a bacteriologist and Friedrich Neelsen (1854 to 1894), a pathologist.It is a special bacteriological stain used to iden