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Peter Reinartz

Researcher at German Aerospace Center

Publications -  413
Citations -  7428

Peter Reinartz is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Change detection & Hyperspectral imaging. The author has an hindex of 37, co-authored 399 publications receiving 6017 citations. Previous affiliations of Peter Reinartz include Qatar Airways & University of Osnabrück.

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Towards Global-Scale Seagrass Mapping and Monitoring Using Sentinel-2 on Google Earth Engine: The Case Study of the Aegean and Ionian Seas

TL;DR: The introduced flexible, time- and cost-efficient cloud-based chain will provide the crucial seasonal to interannual baseline mapping and monitoring of seagrass ecosystems in global scale, resolving gain and loss trends and assisting coastal conservation, management planning, and ultimately climate change mitigation.
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Traffic monitoring with serial images from airborne cameras

TL;DR: The paper aims at showing the potential of using image time series from these cameras to derive traffic parameters on the basis of single car measurements, as well as the usage of a digital road database for improving the tracking algorithm and for integrating the results for further traffic applications.
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Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks

TL;DR: An end-to-end FCN, which effectively combines the spectral and height information from different data sources and automatically generates a full resolution binary building mask, consisting of three parallel networks merged at a late stage, in order to produce an output with more accurate building outlines.
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An Operational System for Estimating Road Traffic Information from Aerial Images

TL;DR: The achieved overall quality of the traffic data extracted by the airborne system is comparable to data obtained from stationary ground sensor networks, as well as that obtained from induction loops.
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Semiglobal Matching Results on the ISPRS Stereo Matching Benchmark

TL;DR: In this article, a digital surface model (DSM) is derived from the Cartosat-1 and Worldview-1 datasets using Semiglobal Matching, which is evaluated against the first pulse returns of the LIDAR reference dataset provided by the Institut Cartogr`afic de Catalunya (ICC), using robust accuracy measures.