Developing an Algorithm for Buildings Extraction and Determining Changes from Airborne LiDAR, and Comparing with R-CNN Method from Drone Images. - Saied Pirasteh; Pejman Rashidi; Heidar Rastiveis; Shengzhi Huang; Qing Zhu; Guoxiang Liu 001; Yun Li; Jonathan Li 001; Erfan Seydipour (Remote. Sens., 2019)

An Automated Framework for Plant Detection Based on Deep Simulated Learning from Drone Imagery. - Benyamin Hosseiny; Heidar Rastiveis; Saeid Homayouni (Remote. Sens., 2020)

BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection. - Seyd Teymoor Seydi; Heidar Rastiveis; Bahareh Kalantar; Alfian Abdul Halin; Naonori Ueda (Remote. Sens., 2022)

UAV-Based Remote Sensing for Detection and Visualization of Partially-Exposed Underground Structures in Complex Archaeological Sites. - Young-Ha Shin; Sang-Yeop Shin; Heidar Rastiveis; Yi-Ting Cheng; Tian Zhou 001; Jidong Liu; Chunxi Zhao; Gunder Varinlioglu; Nicholas K. Rauh; Sorin Adam Matei; Ayman Habib 001 (Remote. Sens., 2023)

D-Net: A Density-Based Convolutional Neural Network for Mobile LiDAR Point Clouds Classification in Urban Areas. - Mahdiye Zaboli; Heidar Rastiveis; Benyamin Hosseiny; Danesh Shokri; Wayne A. Sarasua; Saeid Homayouni (Remote. Sens., 2023)

Seismic urban damage map generation based on satellite images and Gabor convolutional neural networks. - Heidar Rastiveis; Seyd Teymoor Seydi; Zhiqiang Chen; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)