Dec 27, 2011 · Abstract: This paper proposes an image segmentation method for synthetic aperture radar (SAR), exploring statistical properties of SAR data ...
Missing: GA0 | Show results with:GA0
This paper proposes an image segmentation method for synthetic aperture radar (SAR), exploring statistical properties of SAR data to characterize image ...
Missing: GA0 | Show results with:GA0
This paper proposes an image segmentation method for synthetic aperture radar (SAR), exploring statistical properties of SAR data to characterize image ...
An image segmentation method for synthetic aperture radar (SAR), exploring statistical properties of SAR data to characterize image regions and introducing ...
Missing: GA0 | Show results with:GA0
According to the energy function of their curve evolution, the models can be broadly classified as either edge-based or region-based models (Xiao et al., 2014).
In this work we use the G H distribution to model the SAR data from the different regions of the image.
The available SAR image segmentation methods can be roughly grouped into feature-based methods and model-based methods. The first category extracts features ...
Missing: GA0 | Show results with:GA0
People also ask
What are level set methods in image segmentation?
What is approach based classification in image segmentation?
What is image segmentation region based approach?
The regional term is based on the G0 statistical model. The flexibility of G0 distribution makes the proposed approach to segment SAR images of various types.
ABSTRACT Level set methods have been widely used for image segmentation due to their good boundary detection accuracy. In the context of synthetic aperture ...
A methodology for SAR image segmentation that uses the matrix of Rényi's entropy, which arises from SAR data that follows the GA0 model, and here, ...