Zobrazeno 1 - 10
of 242
pro vyhledávání: '"SAR image segmentation"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2851-2867 (2023)
The segmentation of synthetic aperture radar (SAR) images is vital and fundamental in SAR image processing, so evaluating segmentation results without ground truth (GT) is an essential part in segmentation algorithms comparison, parameters selection,
Externí odkaz:
https://doaj.org/article/068616a5698e4148bfd6346fd142d23c
Publikováno v:
Journal of Intelligent Systems, Vol 30, Iss 1, Pp 1014-1025 (2021)
In synthetic aperture radar (SAR) image segmentation field, regional algorithms have shown great potential for image segmentation. The SAR images have a multiplicity of complex texture, which are difficult to be divided as a whole. Existing algorithm
Externí odkaz:
https://doaj.org/article/2cb5a41f34e74056be60de8d74b7581a
Autor:
Zejun Zhang, Xiong Pan, Li Cheng, Shihua Zhan, Huabing Zhou, Riqing Chen, Changcai Yang, Changying Wang, Yaohai Lin, Jiaxiang Lin
Publikováno v:
IEEE Access, Vol 7, Pp 84479-84496 (2019)
In this paper, a hierarchical region merging method is proposed for partitioning synthetic aperture radar (SAR) image into un-overlapping scene area, such as forest regions, urban regions, agricultural regions, and so on. The proposed method mainly c
Externí odkaz:
https://doaj.org/article/60d87a791578469db9bd6f3a7daf8d72
Publikováno v:
IEEE Access, Vol 6, Pp 31783-31797 (2018)
This paper presents a hierarchical multinomial latent model with G0 distribution for synthetic aperture radar (SAR) image semantic segmentation. The model considers the scattering statistics and multiscale characteristics of the SAR images. Specifica
Externí odkaz:
https://doaj.org/article/b63d12da0fce42f1afaabd8b50cb5414
Akademický článek
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Publikováno v:
The Journal of Engineering (2019)
The triplet Markov field (TMF) model has achieved promising results in synthetic aperture radar (SAR) image segmentation. Focusing on the simple likelihood modelling of an SAR image and the effective optimisation of the TMF model, an unsupervised SAR
Externí odkaz:
https://doaj.org/article/5a97b00fda83408e823520cbff6a31bc
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2141 (2020)
In recent years, regional algorithms have shown great potential in the field of synthetic aperture radar (SAR) image segmentation. However, SAR images have a variety of landforms and a landform with complex texture is difficult to be divided as a who
Externí odkaz:
https://doaj.org/article/8b6f3a9e031041289e4b5cfad79de9f5
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14d6c805a11b956d3fed5e9e4a180ef8
https://doi.org/10.1109/tgrs.2021.3131272
https://doi.org/10.1109/tgrs.2021.3131272
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f41968469d14315dd6bfe893a63fb04
https://doi.org/10.1109/lgrs.2021.3124071
https://doi.org/10.1109/lgrs.2021.3124071
Publikováno v:
Algorithms, Vol 8, Iss 1, Pp 32-45 (2015)
Synthetic aperture radar (SAR) image segmentation usually involves two crucial issues: suitable speckle noise removing technique and effective image segmentation methodology. Here, an efficient SAR image segmentation method considering both of the tw
Externí odkaz:
https://doaj.org/article/20cc2e5a7763473a8ea7ee434e962410