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Computer Science

D-Index
37
Citations
7712
World Ranking
10574
National Ranking
529

Overview

Stefan Hinz is affiliated with the Karlsruhe Institute of Technology in Germany. Their research primarily spans the fields of Engineering and Environmental Science, with a focus on several specialized subfields including Aerospace Engineering, Environmental Engineering, Computer Vision and Pattern Recognition, Media Technology, and Ocean Engineering.

Their work covers various topics within remote sensing and related technologies. Key research themes include Synthetic Aperture Radar (SAR) Applications and Techniques, Remote Sensing and LiDAR Applications, Remote-Sensing Image Classification, Robotics and Sensor-Based Localization, Soil Moisture and Remote Sensing, 3D Surveying and Cultural Heritage, as well as Landslides and related hazards.

Recent papers authored or co-authored by Stefan Hinz address multiple aspects of remote sensing and related areas. These include:

  • Review on Convolutional Neural Networks (CNN) in vegetation remote sensing, 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • Airborne monitoring of vehicle activity in urban areas, 2022, Fraunhofer-Publica (Fraunhofer-Gesellschaft)
  • Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes, 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies, 2021, Remote Sensing

Stefan Hinz frequently collaborates with other researchers. Some of their frequent co-authors include:

  • Martin Weinmann
  • Katrin Auspurg
  • Herbert Kalthoff
  • Karin Knorr Cetina
  • Gunnar Göttingen

The scientist's publications appear regularly in several venues. The most frequent publication outlets are:

  • Zeitschrift für Soziologie
  • Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • The "international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft)

Best Publications

  • Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

    Teja Kattenborn;Jens Leitloff;Felix Schiefer;Stefan Hinz

  • Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

    Martin Weinmann;Boris Jutzi;Stefan Hinz;Clément Mallet

  • FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

    Unknown

  • Automatic extraction of urban road networks from multi-view aerial imagery

    Stefan Hinz;Albert Baumgartner

  • Ray-Tracing Simulation Techniques for Understanding High-Resolution SAR Images

    S. Auer;S. Hinz;R. Bamler

  • Vehicle Detection in Very High Resolution Satellite Images of City Areas

    Jens Leitloff;Stefan Hinz;Uwe Stilla

  • Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas

    M. Weinmann;S. Urban;S. Hinz;B. Jutzi

  • A Test of Automatic Road Extraction Approaches

    Helmut Mayer;Stefan Hinz;Uwe Bacher;Emmanuel Baltsavias

  • Improved wide-angle, fisheye and omnidirectional camera calibration

    Steffen Urban;Jens Leitloff;Stefan Hinz

  • CONTEXTUAL CLASSIFICATION OF POINT CLOUD DATA BY EXPLOITING INDIVIDUAL 3D NEIGBOURHOODS

    M. Weinmann;Alena Schmidt;C. Mallet;Stefan Hinz

  • Fast and automatic image-based registration of TLS data

    Ma. Weinmann;Mi. Weinmann;S. Hinz;B. Jutzi

  • The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation

    Andreas Schmitt;Anna Wendleder;Stefan Hinz

  • Automatic car detection in high resolution urban scenes based on an adaptive 3D-model

    S. Hinz;C. Schlosser;J. Reitberger

  • Fast and subpixel precise blob detection and attribution

    S. Hinz

  • Performance Analysis of the TerraSAR-X Traffic Monitoring Concept

    Franz Josef Meyer;Stefan Hinz;Andreas Laika;Diana Weihing

  • Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity.

    Sina Keller;Philipp M Maier;Felix M Riese;Stefan Norra

  • Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data

    Felix M. Riese;Sina Keller;Stefan Hinz

  • AIRBORNE MONITORING OF VEHICLE ACTIVITY IN URBAN AREAS

    U. Stilla;E. Michaelsen;U. Soergel;S. Hinz

  • Classification in High-Dimensional Feature Spaces—Assessment Using SVM, IVM and RVM With Focus on Simulated EnMAP Data

    A. C. Braun;U. Weidner;S. Hinz

  • Extraction and motion estimation of vehicles in single-pass airborne LiDAR data towards urban traffic analysis

    Wei Yao;Stefan Hinz;Uwe Stilla

  • Car detection in aerial thermal images by local and global evidence accumulation

    Stefan Hinz;Uwe Stilla

Frequent Co-Authors

Uwe Stilla
Uwe Stilla Technical University of Munich
Richard Bamler
Richard Bamler German Aerospace Center
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Michael Eineder
Michael Eineder German Aerospace Center
Xian Sun
Xian Sun University of Chinese Academy of Sciences
Franz Rottensteiner
Franz Rottensteiner University of Hannover
Kun Fu
Kun Fu University of Chinese Academy of Sciences
Thomas Schneider
Thomas Schneider National Institutes of Health
Andreas Rietbrock
Andreas Rietbrock Karlsruhe Institute of Technology
Harald Kunstmann
Harald Kunstmann Karlsruhe Institute of Technology

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