Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images

Autor:	Grosgeorge, Damien, Arbelot, Maxime, Goupilleau, Alex, Ceillier, Tugdual, Allioux, Renaud
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Zdroj:	IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020, Waikoloa, Hawaii, United States
Druh dokumentu:	Working Paper
Popis:	Detecting and identifying objects in satellite images is a very challenging task: objects of interest are often very small and features can be difficult to recognize even using very high resolution imagery. For most applications, this translates into a trade-off between recall and precision. We present here a dedicated method to detect and identify aircraft, combining two very different convolutional neural networks (CNNs): a segmentation model, based on a modified U-net architecture, and a detection model, based on the RetinaNet architecture. The results we present show that this combination outperforms significantly each unitary model, reducing drastically the false negative rate.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2005.13215 Zobrazit plný text záznamu View this record from Arxiv