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...

Full description

Saved in:
Bibliographic Details
TeilnehmendeR:
Place / Publishing House:Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
Year of Publication:2023
Language:English
Physical Description:1 online resource (276 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02029nam a2200325 i 4500
001 993599250004498
005 20230703160115.0
006 m o d
007 cr |||||||||||
008 230703s2023 sz o 000 0 eng d
020 |a 3-0365-6794-1 
035 |a (CKB)5700000000354380 
035 |a (NjHacI)995700000000354380 
035 |a (EXLCZ)995700000000354380 
040 |a NjHacI  |b eng  |e rda  |c NjHacl 
050 4 |a G70.4  |b .M858 2023 
082 0 4 |a 621.3678  |2 23 
245 0 0 |a Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration :  |b Big Data Processing and Deep Fusion Learning Techniques /  |c Amin Beiranvand Pour, Omeid Rahmani, Mohammad Parsa, editors. 
246 |a Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration 
264 1 |a Basel :  |b MDPI - Multidisciplinary Digital Publishing Institute,  |c 2023. 
300 |a 1 online resource (276 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 |a Description based on publisher supplied metadata and other sources. 
520 |a 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. 
650 0 |a Remote-sensing images. 
650 0 |a Remote sensing. 
776 |z 3-0365-6795-X 
700 1 |a Rahmani, Omeid,  |e editor. 
700 1 |a Pour, Amin Beiranvand,  |e editor. 
700 1 |a Parsa, Mohammad,  |e editor. 
906 |a BOOK 
ADM |b 2023-07-08 12:22:08 Europe/Vienna  |f system  |c marc21  |a 2023-04-02 14:12:45 Europe/Vienna  |g false 
AVE |i DOAB Directory of Open Access Books  |P DOAB Directory of Open Access Books  |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5345553530004498&Force_direct=true  |Z 5345553530004498  |b Available  |8 5345553530004498 
AVE |i DOAB Directory of Open Access Books  |P DOAB Directory of Open Access Books  |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5345680730004498&Force_direct=true  |Z 5345680730004498  |b Available  |8 5345680730004498