Geospatial Intelligence
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
Toward a Deep Learning Approach for Automatic Semantic Segmentation of 3D Lidar Point Clouds in Urban Areas
|
|---|---|
| Book title |
Geospatial Intelligence
|
| Published by |
Springer International Publishing, November 2021
|
| DOI | 10.1007/978-3-030-80458-9_6 |
| Book ISBNs |
978-3-03-080457-2, 978-3-03-080458-9
|
| Authors |
Ballouch, Zouhair, Hajji, Rafika, Ettarid, Mohamed, Ballouch, Zouhair; Université de Liège - ULiège > Sphères; College of Geomatic Sciences and Surveying Engineering, IAV Hassan II, Rabat, Morocco, Hajji, Rafika; College of Geomatic Sciences and Surveying Engineering, IAV Hassan II, Rabat, Morocco, Ettarid, Mohamed; College of Geomatic Sciences and Surveying Engineering, IAV Hassan II, Rabat, Morocco |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Student > Ph. D. Student | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Computer Science | 1 | 25% |
| Unknown | 2 | 50% |