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TZID:Asia/Dubai
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DTSTART:20210101T000000
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DTSTART;TZID=Asia/Dubai:20220406T100000
DTEND;TZID=Asia/Dubai:20220406T110000
DTSTAMP:20240514T042603Z
CREATED:20220406T094941Z
LAST-MODIFIED:20240514T042603Z
UID:3481-1649239200-1649242800@www.esgrs.ae
SUMMARY:Recent Advances in Spectral Unmixing for Hyperspectral Imagery
DESCRIPTION:Hyperspectral imaging (HSI) systems collect image data simultaneously in hundreds of narrow\, adjacent spectral bands. Hyperspectral remote sensing is used in a wide array of applications such as agriculture\, mineralogy\, surveillance\, etc.In HSI\, the observed radiation represented from a single pixel rarely comes from a pure material. However\, the high spectral resolution of the HSI spectrometer enables the detection\, identification and classification of subpixel objects and their contribution to the measured spectra. The distinct materials associated with the surface are called endmembers\, and the fractions in which they appear in a pixel are called abundances. The unmixing problem refers to finding the number of endmembers\, their spectral signatures\, and their abundances from a given hyperspectral image.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. MOHAMMED Q. ALKHATIBASSISTANT PROFESSOR\, COLLEGE OF ENGINEERING & IT\, UNIVERSITY OF DUBAIDr. Mohammed Alkhatib earned his Bachelor in Telecommunications Engineering from Yarmouk University in 2008. He received his Masters’ and PhD degrees in Electrical and Computer Engineering from The University of Texas at El Paso in 2011 and 2018\, consecutively. In 2021\, Dr. Alkhatib joined the College of Engineering and IT (CEIT) in University of Dubai as an Assistant professor. Prior to CEIT\, he served as an instructor in the Academic Support Department in Abu Dhabi Polytechnic. Dr. Alkhatib research interests are spectral unmixing for hyperspectral images\, HSI classification\, and HSI super-resolution. He presented his research at international Journals and conference meetings including the 2019 Multidisciplinary Digital Publishing Institute (MDPI)\, Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) and the Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/recent-advances-in-spectral-unmixing-for-hyperspectral-imagery/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/19.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220420T100000
DTEND;TZID=Asia/Dubai:20220420T110000
DTSTAMP:20240514T043331Z
CREATED:20220420T094935Z
LAST-MODIFIED:20240514T043331Z
UID:3482-1650448800-1650452400@www.esgrs.ae
SUMMARY:Remote Sensing – Data & Technology A Walk through from Past to Present
DESCRIPTION:Remote sensing is defined as the science of acquiring of information from a distance. Remote sensors collect data by detecting the energy that is reflected from Earth. These sensors can be on satellites or mounted on aircraft. Remote Sensing has a growing relevance in the modern information society. It has become a key service that is used widely in many civil applications such as agriculture\, forestry\, mining (and prospecting for many types of resources)\, map making\, research in geosciences\, urban planning\, disaster management and even land speculation. Remote sensing\, Earth observation\, related Geographical Information Systems (GIS)\, plus the interpretation and use of this type of data are today often referred to today as Geomatics. In this session let us walk through\, from the past to present on the growth & development in the Remote sensing domain from data and technology perspective.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                MR. KANNAN JAYARAMANSR. REMOTE SENSING & GIS DATA ANALYST AT GISTECA veteran GIS professional with about 18 years of experience in GIS & Remote Sensing data and in its’s various interrelated domains. Expert in Analyze\, Design\, Development and Deployment of Desktop and Web applications (2D & 3D). Having excellent knowledge in Workflows/process design\, automation techniques of the COTS products. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/remote-sensing-data-technology-a-walk-through-from-past-to-present/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/20.jpg
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