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...
Saved in:
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!
|
Similar Items
-
Multi-Sensor Systems and Data Fusion in Remote Sensing / / edited by Piotr Kaniewski, Mateusz Pasternak, Stefano Mattoccia.
Published: (2023.) -
Deep Learning Methods for Remote Sensing / / Moulay A. Akhloufi, Mozhdeh Shahbazi.
by: Akhloufi, Moulay A.,
Published: (2022.) -
Deep Learning and Computer Vision in Remote Sensing / / Fahimeh Farahnakian, Jukka Heikkonen, Pouya Jafarzadeh, editors.
Published: (2023.) -
Advanced Machine Learning and Deep Learning Approaches for Remote Sensing / / edited by Gwanggil Jeon.
Published: (2023.) -
Image processing and GIS for remote sensing : : techniques and applications / / Jian Guo Liu and Philippa J. Mason.
by: Liu, Jian-Guo,
Published: (2016.)