109 citations · 168 across the 4 of their papers we have counts for
5 papers
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: a semantic segmentation solution
Tzu-Hsin Karen Chen, Chunping Qiu, Michael Schmitt +3
Landsat imagery is an unparalleled freely available data source that allows reconstructing horizontal and vertical urban form. This paper addresses the challenge of using Landsat d…
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset
Chunping Qiu, Xiaochong Tong, Michael Schmitt +2
As a unique classification scheme for urban forms and functions, the local climate zone (LCZ) system provides essential general information for any studies related to urban environ…
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
C. Qiu, M. Schmitt, C. Geiss +2
Human settlement extent (HSE) information is a valuable indicator of world-wide urbanization as well as the resulting human pressure on the natural environment. Therefore, mapping…
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu +14
Access to labeled reference data is one of the grand challenges in supervised machine learning endeavors. This is especially true for an automated analysis of remote sensing images…
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu +1
The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from m…