Deep learning approach for automated geospatial data collection
Geospatial data collection and mapping are considered to be one of the key tasks for many users of spatial information. Traditionally, data collection and mapping can be done using a variety of methods, such as mobile mapping, remote sensing and conventional survey methods. Each method...
Saved in:
Main Author: | Al-Azizi, Jalal Ibrahim |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/85693/1/FK%202020%2083%20-%20ir.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman
by: Osman, Mohamad Azizi
Published: (2019) -
Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data
by: Mohd Rahim, Mohd Shafry
Published: (2008) -
Detection of precursory signals of past earthquakes using integration of spatio-temporal parameters
by: Alvan, Habibeh Valizadeh
Published: (2013) -
Efficient data representation and spatial relations computation /
by: Jiang, Xunda
Published: (1996) -
Geospatial Modeling for Optimization of Solid Waste Disposal in a Rapidly Urbanizing City, Sari, in Iran
by: Nadi, Behzad
Published: (2010)