Unsupervised Semantic Segmentation of PolSAR Images Based on Multiview Similarity

Semantic segmentation is an essential task in polarimetric synthetic aperture radar (PolSAR) image interpretation. To address the issue of insufficient measurement ability of single-view similarity, an unsupervised semantic segmentation method for PolSAR images based on multiview similarity is propo...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
المؤلفون الرئيسيون: Meilin Li, Huanxin Zou, Zhen Dong, Xianxiang Qin, Shuo Liu, Yuqing Zhang
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2024-01-01
الموضوعات:
Multiview similarity
number-of-classes (NoC) estimation
polarimetric SAR image
semantic segmentation
spectral clustering
unsupervised
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10433657/

الانترنت

https://ieeexplore.ieee.org/document/10433657/

مواد مشابهة