Detecting Burnscar from Hyperspectral Imagery via Sparse Representation with Low-Rank Interference

1 May 2016  ·  Minh Dao, Xiang Xiang, Bulent Ayhan, Chiman Kwan, Trac. D. Tran ·

In this paper, we propose a burnscar detection model for hyperspectral imaging (HSI) data. The proposed model contains two-processing steps in which the first step separate and then suppress the cloud information presenting in the data set using an RPCA algorithm and the second step detect the burnscar area in the low-rank component output of the first step... Experiments are conducted on the public MODIS dataset available at NASA official website. read more

PDF Abstract
No code implementations yet. Submit your code now

Tasks


Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here