De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering R Pande-Chhetri, A Abd-Elrahman ISPRS journal of photogrammetry and remote sensing 66 (5), 620-636, 2011 | 179 | 2011 |
Object-based classification of wetland vegetation using very high-resolution unmanned air system imagery R Pande-Chhetri, A Abd-Elrahman, T Liu, J Morton, VL Wilhelm European Journal of Remote Sensing 50 (1), 564-576, 2017 | 168 | 2017 |
In situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system A Abd-Elrahman, M Croxton, R Pande-Chettri, GS Toor, S Smith, J Hill ISPRS journal of photogrammetry and remote sensing 66 (4), 463-472, 2011 | 60 | 2011 |
Design and development of a multi-purpose low-cost hyperspectral imaging system A Abd-Elrahman, R Pande-Chhetri, G Vallad Remote Sensing 3 (3), 570-586, 2011 | 32 | 2011 |
Filtering high-resolution hyperspectral imagery in a maximum noise fraction transform domain using wavelet-based de-striping R Pande-Chhetri, A Abd-Elrahman International Journal of Remote Sensing 34 (6), 2216-2235, 2013 | 22 | 2013 |
Classification of submerged aquatic vegetation in black river using hyperspectral image analysis R Pande-Chhetri, A Abd-Elrahman, C Jacoby Geomatica 68 (3), 169-182, 2014 | 12 | 2014 |
Filtering high resolution hyperspectral imagery and analyzing it for quantification of water quality parameters and aquatic vegetation R Pande-Chhetri University of Florida, 2012 | | 2012 |