A new CFAR algorithm based on variable window for ship target detection in SAR images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-018-1408-4.pdf
Reference18 articles.
1. Dong, L., Wang, B., Zhao, M., et al.: Robust infrared maritime target detection based on visual attention and spatiotemporal filtering. IEEE Trans. Geosci. Remote Sens. 55(5), 3037–3050 (2017)
2. Li, Y., Zhang, Y., Li, W., et al.: Marine wireless big data: efficient transmission, related applications, and challenges. IEEE Wirel. Commun. 25(1), 19–25 (2018)
3. Wang, X., Chen, C.: A fast line-scanning-based detection algorithm for real-time SAR ship detection. Signal Image Video Process. 9(8), 1975–1982 (2015)
4. Wang, X., Chen, C.: Adaptive ship detection in SAR images using variance WIE-based method. Signal Image Video Process. 10(7), 1219–1224 (2016)
5. Yu, W., Wang, Y., Liu, H., et al.: Superpixel-based CFAR target detection for high-resolution SAR images. IEEE Geosci. Remote Sens. Lett. 13(5), 730–734 (2016)
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