Amr Abd-Elrahman

Multi-View, Deep Learning, and Contextual Analysis: Promising Approaches for sUAS Land Cover Classification

Tao Liu, Amr Abd-Elrahman, 2019 .

Multi-view object-based classification of wetland land covers using unmanned aircraft system images

Tao Liu, Amr Abd-Elrahman, A. Abd-Elrahman, 2018, Remote Sensing of Environment.

A fully learnable context-driven object-based model for mapping land cover using multi-view data from unmanned aircraft systems

Tao Liu, Alina Zare, Bon Dewitt, 2018, Remote Sensing of Environment.

List of reviewers for International Journal of Digital Earth

Denisa Rodila, Xianfeng Liu, A-Xing Zhu, 2019, Int. J. Digit. Earth.

Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification

Tao Liu, Amr Abd-Elrahman, A. Abd-Elrahman, 2018 .

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, 2018 .

Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers

Tao Liu, Bon Dewitt, Amr Abd-Elrahman, 2018, GIScience & Remote Sensing.

Incorporation of satellite remote sensing pan-sharpened imagery into digital soil prediction and mapping models to characterize soil property variability in small agricultural fields

Yiming Xu, Suhas P. Wani, Sabine Grunwald, 2017 .