SAR Image Segmentation Based on Super-Pixel and Kernel-Improved CV Model-Reference-Cited by-同舟云学术

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SAR Image Segmentation Based on Super-Pixel and Kernel-Improved CV Model

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Ni Kang¹,Zhao Yuqing²,Wu Yiquan³

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications,Nanjing,China

2. School of Management and Engineering, Capital University of Economics and Business,Beijing,China

3. School of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883471.pdf?arnumber=9883471

Reference13 articles.

1. A Threshold Selection Method From Gray Level Histograms[J];otsu;Automatica,1975

2. Contour tracking based on a synergistic approach of geodesic active contours and conditional random fields

3. Implicit Active Contours Driven by Local Binary Fitting Energy

4. A Level Set Method for Image Segmentation in The Presence of Intensity Inhomogeneities with Application to MRI[J];li;IEEE Transactions on Image Processing,2011

5. A Novel Level Set Method for Inhomogeneous SAR Image Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. M2F2-RCNN: Multi-functional faster RCNN based on multi-scale feature fusion for region search in remote sensing images;Computer Science and Information Systems;2023

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