Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : : Big Data Processing and Deep Fusion Learning Techniques /

Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : : Big Data Processing and Deep Fusion Learning Techniques / / Amin Beiranvand Pour, Omeid Rahmani, Mohammad Parsa, editors.

This reprint exists to solve high complexity issues in remote sensing data processing, geochemical data analysis, geophysical data analysis and appropriate applications of GIS techniques for data fusion designed for mineral and hydrocarbon exploration. This reprint contains updated and informative k...

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TeilnehmendeR:
Rahmani, Omeid,
Pour, Amin Beiranvand,
Parsa, Mohammad,
Place / Publishing House:Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
Year of Publication:2023
Language:English
Physical Description:1 online resource (276 pages)
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spelling Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : Big Data Processing and Deep Fusion Learning Techniques / Amin Beiranvand Pour, Omeid Rahmani, Mohammad Parsa, editors.
Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration
Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2023.
1 online resource (276 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on publisher supplied metadata and other sources.
This reprint exists to solve high complexity issues in remote sensing data processing, geochemical data analysis, geophysical data analysis and appropriate applications of GIS techniques for data fusion designed for mineral and hydrocarbon exploration. This reprint contains updated and informative knowledge of remote sensing imagery, geochemistry, geophysics and geospatial techniques that can assist in delineating the signatures and patterns linked to deep-seated, covered, blind, or buried mineral deposits and onshore oil slick detection, offshore oil spill monitoring and hydrocarbon exploration. It includes several color figures for remotely-sensed recognition of mineralization-related footprints. Additionally, this reprint comprehends several interactive flowcharts for describing the procedures explained therein.
Remote-sensing images.
Remote sensing.
3-0365-6795-X
Rahmani, Omeid, editor.
Pour, Amin Beiranvand, editor.
Parsa, Mohammad, editor.
language English
format eBook
author2 Rahmani, Omeid,
Pour, Amin Beiranvand,
Parsa, Mohammad,
author_facet Rahmani, Omeid,
Pour, Amin Beiranvand,
Parsa, Mohammad,
author2_variant o r or
a b p ab abp
m p mp
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
title Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : Big Data Processing and Deep Fusion Learning Techniques /
spellingShingle Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : Big Data Processing and Deep Fusion Learning Techniques /
title_sub Big Data Processing and Deep Fusion Learning Techniques /
title_full Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : Big Data Processing and Deep Fusion Learning Techniques / Amin Beiranvand Pour, Omeid Rahmani, Mohammad Parsa, editors.
title_fullStr Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : Big Data Processing and Deep Fusion Learning Techniques / Amin Beiranvand Pour, Omeid Rahmani, Mohammad Parsa, editors.
title_full_unstemmed Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : Big Data Processing and Deep Fusion Learning Techniques / Amin Beiranvand Pour, Omeid Rahmani, Mohammad Parsa, editors.
title_auth Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration : Big Data Processing and Deep Fusion Learning Techniques /
title_alt Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration
title_new Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration :
title_sort multispectral remote sensing satellite data for mineral and hydrocarbon exploration : big data processing and deep fusion learning techniques /
publisher MDPI - Multidisciplinary Digital Publishing Institute,
publishDate 2023
physical 1 online resource (276 pages)
isbn 3-0365-6794-1
3-0365-6795-X
callnumber-first G - Geography, Anthropology, Recreation
callnumber-subject G - General Geography
callnumber-label G70
callnumber-sort G 270.4 M858 42023
illustrated Not Illustrated
dewey-hundreds 600 - Technology
dewey-tens 620 - Engineering
dewey-ones 621 - Applied physics
dewey-full 621.3678
dewey-sort 3621.3678
dewey-raw 621.3678
dewey-search 621.3678
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