Acta Optica Sinica, Volume. 40, Issue 1, 0111018(2020)
Infrared-Remote-Sensing Ship Detection Based on Lightweight Residual Network
Fig. 3. Ship models and infrared imaging system. (a) Infrared imaging system; (b) flume; (c) ship models; (d) surface ship
Fig. 4. Samples of ship dataset production. (a) Original data; (b) data labeled by LabelMe
Fig. 5. Variation of binary cross-entropy loss in training processing for four networks
Fig. 7. Output results. (a) Input images; (b) output results of manual annotation; (c) output results of BS-Net; (d) output results of BRS-Net; (e) output results of TS-Net; (f) output results of TRS-Net
|
Get Citation
Copy Citation Text
Tianyou Zhu, Lingfeng Huang, Feng Dong, Huixing Gong. Infrared-Remote-Sensing Ship Detection Based on Lightweight Residual Network[J]. Acta Optica Sinica, 2020, 40(1): 0111018
Category: Special Issue on Computational Optical Imaging
Received: Jul. 26, 2019
Accepted: Sep. 9, 2019
Published Online: Jan. 6, 2020
The Author Email: Gong Huixing (hxgong@mail.sitp.ac.cn)