Amr Abd‐Elrahman

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

Tao Liu, Amr Abd‐Elrahman, Jon Morton et al. · GIScience & Remote Sensing · 2018 · 262 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

Urbanization as a land use change driver of forest ecosystem services

Sonia Delphin, Francisco J. Escobedo, Amr Abd‐Elrahman et al. · Land Use Policy · 2016 · 205 citations

Urban Land Use, Forest Ecosystem Services, Urban Forestry +9

De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering

Roshan Pande-Chhetri, Amr Abd‐Elrahman · ISPRS Journal of Photogrammetry and Remote Sensing · 2011 · 169 citations

Image Analysis, Engineering, Imaging Spectroscopy +9

Object-based classification of wetland vegetation using very high-resolution unmanned air system imagery

Roshan Pande-Chhetri, Amr Abd‐Elrahman, Tao Liu et al. · European Journal of Remote Sensing · 2017 · 130 citations · Full text

Precision Agriculture, Wetland Vegetation, Engineering +18

A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses

Jaafar Abdulridha, Reza Ehsani, Amr Abd‐Elrahman et al. · Computers and Electronics in Agriculture · 2018 · 114 citations

Physiological Plant Pathology, Precision Agriculture, Environmental Monitoring +12