1. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. Detection probability versus SBR for the MMMSD and MSD at BNR=1, false-alarm probability Pfa=10−3, K=40, L=20, N=2, p=4, and different sensitivity factor m (simulation result). Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

2. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. Detection probability versus SBR for the MMMSD and MSD at m=1, K=40, L=20, N=2, p=4, false-alarm probability Pfa=10−3, and different BNR (simulation result). Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

3. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. MMMSD detection probability versus fill factor N/L for different SBR and BNR (m=1, K=20, L=20, p=5, and false-alarm probability Pfa=10−3) (simulation result). Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

4. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. Results of frequency spectrum estimation for (a) swimmer and (b) plastic container. Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

5. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. An image of a floating plastic container (observed region is 6×6 pixels). (a) The original image, (b) the observed square region (subimage) with size 6×6 pixels, and (c) the three-dimensional (3-D) gray value distribution of the observed region. Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

6. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. An image of a floating plastic container (observed region is 10×10 pixels). (a) The original image, (b) the observed square region with size 10×10 pixels, and (c) the 3-D gray value distribution of the observed region. Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

7. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. An image of a swimmer (observed region is 10×10 pixels). (a) The original image, (b) the observed square region with size 10×10 pixels, and (c) the 3-D gray value distribution of the observed region. Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

8. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. Detection performance for a floating plastic container data (K=25) with a different size of the observed region. Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

9. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. Detection performance for a swimmer data with different number of images K. Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006

10. Date of download: 6/18/2016 Copyright © 2016 SPIE. All rights reserved. Test results for two slowly moving containers (K=20, observed region 6×6 pixels): (a) input image sequence (images number 300, 370, 460, and 560), (b) detection results using MSD, and (c) detection results using MMMSD (m=1, p=4). Figure Legend: From: Robust multipixel matched subspace detection with signal-dependent background power J. Appl. Remote Sens. 2016;10(1):015006. doi:10.1117/1.JRS.10.015006