Summer Research Internship
Project 14 Superpixel Generation for SAR Images Based on Probability Models

Contact Information

Dr. Bin Liu

Email: bliu.rsti@sjtu.edu.cn

 

Project Description and Objectives

Superpixel generation is a widely accepted idea for synthetic aperture radar (SAR) image understanding, which uses the spatial context of images. The superpixel is the elementary unit in the following processes, and can provide additional information for image understanding. Currently, superpixel generation for SAR images is still an open problem. In this project, the student will develop a superpixel generation method for SAR images, which exploits the inherent statistical information of SAR images. The method should be suitable for both homogeneous and heterogeneous areas in the image. Particularly, the method should provide competitive performance in the heterogeneous areas, considering specific applications.

 

Eligibility Requirements

  • The interested student should have knowledge of statistical modeling, digital image processing and Matlab.

 

Main Tasks

Understanding statistical modelling for SAR images

Developing a superpixel generation method for SAR images based on the statistical information

Evaluating the performance of the developed superpixel generation method, especially in the heterogeneous areas

 

Website

Lab: ast.sjtu.edu.cn

School: http://www.seiee.sjtu.edu.cn/

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