The Use of an Artificial Neural Network to Process Hydrographic Big Data during Surface Modeling
At the present time, spatial data are often acquired using varied remote sensing sensors and systems, which produce big data sets. One significant product from these data is a digital model of geographical surfaces, including the surface of the sea floor. To improve data processing, presentation, an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-03-01
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| Series: | Computers |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-431X/8/1/26 |