MyJournals Home  

RSS FeedsRemote Sensing, Vol. 11, Pages 399: Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification (Remote Sensing)

 
 

17 february 2019 07:00:05

 
Remote Sensing, Vol. 11, Pages 399: Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification (Remote Sensing)
 




Hyperspectral image classification is a challenging and significant domain in the field of remote sensing with numerous applications in agriculture, environmental science, mineralogy, and surveillance. In the past years, a growing number of advanced hyperspectral remote sensing image classification techniques based on manifold learning, sparse representation and deep learning have been proposed and reported a good performance in accuracy and efficiency on state-of-the-art public datasets. However, most existing methods still face challenges in dealing with large-scale hyperspectral image datasets due to their high computational complexity. In this work, we propose an improved spectral clustering method for large-scale hyperspectral image classification without any prior information. The proposed algorithm introduces two efficient approximation techniques based on Nyström extension and anchor-based graph to construct the affinity matrix. We also propose an effective solution to solve the eigenvalue decomposition problem by multiplicative update optimization. Experiments on both the synthetic datasets and the hyperspectral image datasets were conducted to demonstrate the efficiency and effectiveness of the proposed algorithm.


Del.icio.us Digg Facebook Google StumbleUpon Twitter
 
35 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 400: Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes (Remote Sensing)
Remote Sensing, Vol. 11, Pages 398: Sensitivity of Landsat-8 OLI and TIRS Data to Foliar Properties of Early Stage Bark Beetle (Ips typographus, L.) Infestation (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics

Use these buttons to bookmark us:
Del.icio.us Digg Facebook Google StumbleUpon Twitter


Valid HTML 4.01 Transitional
Copyright © 2008 - 2019 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn