Acta Optica Sinica, Volume. 38, Issue 1, 0111005(2018)
Valid Aircraft Detection System for Remote Sensing Images Based on Cognitive Models
Fig. 1. Structural diagram of detection system
Fig. 2. Workflow chart of system
Fig. 3. Structural diagram of SSD network
Fig. 4. Structure of full convolution segmentation network
Fig. 5. Process diagram of filtering out invalid targets
Fig. 6. Training process of system
Fig. 7. Airport detection samples
Fig. 8. Detection samples for unshaded aircrafts
Fig. 9. Detection samples for shaded aircrafts
Fig. 10. Contrast between (a) artificial segmentation image and (b) original image
Fig. 11. Sketch of fIoU definition
Fig. 12. (a) Training accuracy and (b) loss parameter versus iteration number in classification training process on VGGNet
Fig. 13. Aircraft detection results
Fig. 14. Airport segmentation results
Fig. 15. Screening results from aircraft detection
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Yuqingyang Hou, Jicheng Quan, Yongming Wei. Valid Aircraft Detection System for Remote Sensing Images Based on Cognitive Models[J]. Acta Optica Sinica, 2018, 38(1): 0111005
Category: Imaging Systems
Received: Jun. 20, 2017
Accepted: --
Published Online: Aug. 31, 2018
The Author Email: Hou Yuqingyang (894210081@qq.com)