Detection Algorithms for Hyperspectral Imaging Applications

Author(s):  
D. Manolakis
Author(s):  
B K Nagesha ◽  
M R Puttaswamy ◽  
Dsouza Hasmitha ◽  
G Hemantha Kumar

<p>Target detection in hyperspectral imagery is a complex process due to many factors. Exploiting the hyperspectral image<br />for analysis is very challenging due to large information and low spatial resolution. However, hyperspectral target<br />detection has numerous applications. Hence, it is important to pursue research in target detection. In this paper, a<br />comparative study of target detection algorithms for hyperspectral imagery is presented along with scope for future<br />research. A comparative study behind the hyperspectral imaging is detailed. Also, various challenges involved in<br />exploring the hyperspectral data are discussed.</p>


2014 ◽  
Vol 31 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Dimitris Manolakis ◽  
Eric Truslow ◽  
Michael Pieper ◽  
Thomas Cooley ◽  
Michael Brueggeman

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