Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Execution overview of MapReduce. Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS
Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Procedure of projection in C2PPI. Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS
Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Procedure of candidate selection in C2PPI. Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS
Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Procedure of candidate selection in C2PPI. Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS
Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Analog image of pixel selected after the skewers projection step by different implementations of PPI. (a1) Analog image implemented by ENVI, (a2) 3-D representation of pixels in red box of (a1), (b1) analog image implemented by ENVI, (b2) 3-D representation of pixels in red box of (b1), (c1) analog image implemented by ENVI, (c2) 3-D representation of pixels in red box of (c1). Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS
Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of the execution time with regard to data size and node number. Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS
Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Speedup results with regard to 1 GB and node number. Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS
Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Speedup results obtained with regard to different image sizes and node number. Figure Legend: From: Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment J. Appl. Remote Sens. 2016;10(2): doi: /1.JRS