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Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges - Computing and Networks Sanjay Garg
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Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges - Computing and Networks
Sanjay Garg
Using machine and deep learning techniques the authors introduce pre-processing methods applied to satellite images to identify land cover features, detect object, classify crops, recognize targets, and monitor and support earth resources. Readers will need a basic understanding of computing, remote sensing and image interpretation.
258 pages
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2023. gada 11. jūlijs |
| ISBN13 | 9781839536175 |
| Izdevēji | Institution of Engineering and Technolog |
| Lapas | 258 |
| Izmēri | 150 × 220 × 20 mm · 539 g |
| Valoda | Angļu |
| Redaktors | Dube, Nitant (Group Director, Space Applications Centre (SAC), ISRO, Planetary and Meteorology Data Processing Group, India) |
| Redaktors | Garg, Sanjay (Professor, Jaypee University of Engineering and Technology, Computer Science and Engineering Department, India) |
| Redaktors | Jain, Swati (Associate Professor, Institute of Technology, Nirma University, Computer Science and Engineering Department, India) |
| Redaktors | Varghese, Nebu (Assistant Manager (GIS), Dholera Industrial City Development Limited (DICDL), Land and Municipal Service, India) |
