Complete Model for Automatic Object Detection and Localisation on Aerial Images using Convolutional Neural Networks
In this paper, a novel approach for an automatic object detection and localisation on aerial images is proposed. Proposed model does not use ground control points (GCPs) and consists of three major phases. In the first phase, optimal flight route is planned in order to capture the area of interest a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Communications and Information Society (CCIS)
2018-03-01
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| Series: | Journal of Communications Software and Systems |
| Subjects: | |
| Online Access: | https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/441 |