Object sieving and morphological closing to reduce false detections in wide-area aerial imagery

• URL: http://arxiv.org/abs/2010.15260v1
• Date: Wed, 28 Oct 2020 22:20:17 GMT
• Title: Object sieving and morphological closing to reduce false detections in wide-area aerial imagery
• Authors: Xin Gao, Sundaresh Ram, and Jeffrey J. Rodriguez
• Abstract summary: We propose a two-stage post-processing scheme which comprises an area-thresholding sieving process and a morphological closing operation. We use two wide-area aerial videos to compare the performance of five object detection algorithms in the absence and in the presence of our post-processing scheme.
• Score: 12.283960732404163
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: For object detection in wide-area aerial imagery, post-processing is usually needed to reduce false detections. We propose a two-stage post-processing scheme which comprises an area-thresholding sieving process and a morphological closing operation. We use two wide-area aerial videos to compare the performance of five object detection algorithms in the absence and in the presence of our post-processing scheme. The automatic detection results are compared with the ground-truth objects. Several metrics are used for performance comparison.

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