Shahab Jozdani

Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector Machine Algorithms for Object-Based Urban Land Use/Land Cover Classification

Shahab Jozdani, Brian Alan Johnson, Dongmei Chen · Remote Sensing · 2019 · 215 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

On the versatility of popular and recently proposed supervised evaluation metrics for segmentation quality of remotely sensed images: An experimental case study of building extraction

Shahab Jozdani, Dongmei Chen · ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · 34 citations

Scene Analysis, Image Analysis, Machine Vision +13

Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling

Brian Alan Johnson, Shahab Jozdani · Remote Sensing · 2018 · 28 citations · Full text

High Resolution, Engineering, Land Use +17

Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics that Affect the Local Thermal Environment

Brian Alan Johnson, Shahab Jozdani · Remote Sensing · 2019 · 22 citations · Full text

Engineering, Land Cover, Local Climate Zone +17

A regression modelling approach for optimizing segmentation scale parameters to extract buildings of different sizes

Shahab Jozdani, Mehdi Momeni, Brian Alan Johnson et al. · International Journal of Remote Sensing · 2017 · 19 citations