Tobias Leichtle

Unsupervised change detection in VHR remote sensing imagery – an object-based clustering approach in a dynamic urban environment

Tobias Leichtle, Christian Geiß, Michael Wurm et al. · International Journal of Applied Earth Observation and Geoinformation · 2016 · 144 citations

Natural Sciences, Earth Sciences, Geoinformatics +16

Large-Area Characterization of Urban Morphology—Mapping of Built-Up Height and Density Using TanDEM-X and Sentinel-2 Data

Christian Geis, Tobias Leichtle, Michael Wurm et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2019 · 73 citations

Computing, Geoinformatics, Urban Planning +17

Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space

Lifeng Shi, Michael Wurm, Xianjin Huang et al. · Landscape and Urban Planning · 2020 · 56 citations

Social Sciences, Urban Planning, Urban Studies +10

Class imbalance in unsupervised change detection – A diagnostic analysis from urban remote sensing

Tobias Leichtle, Christian Geiß, Tobia Lakes et al. · International Journal of Applied Earth Observation and Geoinformation · 2017 · 40 citations

Natural Resources, Geoinformatics, Landscape Change Detection +16

Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts

Tobias Leichtle, Tobia Lakes, Xiao Xiang Zhu et al. · Computers Environment and Urban Systems · 2019 · 35 citations · Full text

Social Sciences, Demography, Urban Planning +17