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| Content Provider | IET Digital Library |
|---|---|
| Author | Xu, Yifan Liu, Aifang Huang, Long |
| Abstract | Polarimetric SAR (PolSAR) data can be characterised by scattering matrix, which contains four elements. It is difficult to merge all the elements of the scattering matrix for segmentation. On the other hand, a PolSAR image contains objects of various scales, so segmentation on a single scale may lead to over-segmentation and under-segmentation. To address these two problems, an adaptive scale segmentation algorithm for PolSAR image is proposed. First, extract a synthetic gradient image that contains scattering information of all polarisation channels. Second, to prevent the over-segmentation of the watershed algorithm, extract the markers of the synthetic gradient image adaptively. Finally, combined with the result of PolSAR classification, the segmentation scales are adaptively selected for the segmentation of the synthetic gradient image. The results show that the proposed algorithm can not only accurately extract the segmentation boundaries of different objects but also overcome the over-segmentation of large-scale objects and under-segmentation of small-scale objects. Compared to fixed scale segmentation algorithms, the segmentation result of the proposed algorithm has the best quantitative index, that is, the lowest global heterogeneity evaluation index. |
| Starting Page | 6072 |
| Ending Page | 6076 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 19, Oct (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/19 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0408 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-05-30 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Adaptive Scale Segmentation Algorithm Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Fixed Scale Segmentation Algorithm Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing Global Heterogeneity Evaluation Index Image Classification Image Recognition Image Segmentation Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Large-scale Objects Polarimetric SAR Data Polarimetric SAR Image PolSAR Classification PolSAR Image Radar Equipment Radar Imaging Radar Polarimetry Remote Sensing by Radar Scattering Matrix Segmentation Boundaries Segmentation Scales Small-scale Objects Synthetic Aperture Radar Synthetic Gradient Image System And Application |
| Content Type | Text |
| Resource Type | Article |
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