Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications, Tsunami Disasters, and Infrastructure
The advance in space machineries has created a novel technology for observing and monitoring the Earth from space. Most earth observation remote sensing considerations focus on using conventional image processing algorithms or classic edge detection tools. Nevertheless, these techniques do not imple...
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Format: | Electronic Book Chapter |
Language: | English |
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IntechOpen
2019
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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020 | |a 9781789856187 | ||
020 | |a 9781789856170 | ||
020 | |a 9781839620614 | ||
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024 | 7 | |a 10.5772/intechopen.78525 |c doi | |
041 | 0 | |a eng | |
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072 | 7 | |a RGW |2 bicssc | |
100 | 1 | |a Marghany, Maged |4 edt | |
700 | 1 | |a Marghany, Maged |4 oth | |
245 | 1 | 0 | |a Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications, Tsunami Disasters, and Infrastructure |
260 | |b IntechOpen |c 2019 | ||
300 | |a 1 electronic resource (182 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a The advance in space machineries has created a novel technology for observing and monitoring the Earth from space. Most earth observation remote sensing considerations focus on using conventional image processing algorithms or classic edge detection tools. Nevertheless, these techniques do not implement modern physics, applied mathematics, signal communication, remote sensing data, and innovative space technologies. This book provides readers with methods to comprehend how to monitor coastal environments, disaster areas, and infrastructure from space with advanced talent remote sensing technology to bridge the gaps between modern space technology, image processing algorithms, mathematical models and the critical issue of the coastal and infrastructure investigations. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
546 | |a English | ||
650 | 7 | |a Geographical information systems (GIS) & remote sensing |2 bicssc | |
653 | |a deep learning, gis, uav, interferometry, convolutional neural network, health monitoring | ||
856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/8395/authors_book/authors_book.pdf |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/130644 |7 0 |z DOAB: description of the publication |