- Article
(1607 KB) - Metadata XML
- December 22, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-1
https://doi.org/10.5194/isprs-archives-XLII-1-59-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLII-1-59-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
26 Sep 2018
| 26 Sep 2018
ON THE CATEGORIZATION OF HIGH ACTIVITY OBJECTS USING DIFFERENTIAL ATTRIBUTE PROFILES
M. Boldt
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76275 Ettlingen, Germany
A. Thiele
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76275 Ettlingen, Germany
Institute of Photogrammetry and Remote Sensing IPF, Karlsruhe Institute of Technology KIT, 76128 Karlsruhe, Germany
K. Schulz
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76275 Ettlingen, Germany
S. Hinz
Institute of Photogrammetry and Remote Sensing IPF, Karlsruhe Institute of Technology KIT, 76128 Karlsruhe, Germany
Related authors
N. Karle, M. Boldt, A. Thiele, and U. Thoennessen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 85–91, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-85-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-85-2022, 2022
Markus Hillemann, Robert Langendörfer, Max Heiken, Max Mehltretter, Andreas Schenk, Martin Weinmann, Stefan Hinz, Christian Heipke, and Markus Ulrich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 137–144, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-137-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-137-2024, 2024
B. Kamm, A. Schenk, P. Yuan, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 153–159, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-153-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-153-2023, 2023
Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, and Harald Kunstmann
Earth Syst. Sci. Data, 14, 5287–5307, https://doi.org/10.5194/essd-14-5287-2022, https://doi.org/10.5194/essd-14-5287-2022, 2022
Short summary
Short summary
In this study, a comprehensive multi-disciplinary dataset for tropospheric water vapor was developed. Geodetic, photogrammetric, and atmospheric modeling and data fusion techniques were used to obtain maps of water vapor in a high spatial and temporal resolution. It could be shown that regional weather simulations for different seasons benefit from assimilating these maps and that the combination of the different observation techniques led to positive synergies.
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-7-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-7-2022, 2022
N. Karle, M. Boldt, A. Thiele, and U. Thoennessen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 85–91, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-85-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-85-2022, 2022
S. Kuny, H. Hammer, and A. Thiele
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 93–98, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-93-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-93-2022, 2022
M. Rebmeister, A. Schenk, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 341–348, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-341-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-341-2022, 2022
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2022-7-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-7-2022, 2022
S. Schmitz, H. Hammer, and A. Thiele
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 49–56, https://doi.org/10.5194/isprs-annals-V-1-2022-49-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-49-2022, 2022
A. Michel, W. Gross, S. Hinz, and W. Middelmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 291–298, https://doi.org/10.5194/isprs-annals-V-2-2022-291-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-291-2022, 2022
M. Evers, A. Thiele, H. Hammer, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 107–114, https://doi.org/10.5194/isprs-annals-V-3-2022-107-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-107-2022, 2022
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-7-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-7-2021, 2021
S. Kuny, H. Hammer, and K. Schulz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 45–50, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-45-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-45-2021, 2021
M. Evers, A. Thiele, H. Hammer, E. Cadario, K. Schulz, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 147–154, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-147-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-147-2021, 2021
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2021-7-2021, https://doi.org/10.5194/isprs-annals-V-1-2021-7-2021, 2021
S. Schmitz, U. Weidner, H. Hammer, and A. Thiele
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 39–46, https://doi.org/10.5194/isprs-annals-V-1-2021-39-2021, https://doi.org/10.5194/isprs-annals-V-1-2021-39-2021, 2021
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-7-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-7-2020, 2020
M. Evers, H. Hammer, A. Thiele, and K. Schulz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 99–106, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-99-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-99-2020, 2020
S. Hinz, R. Q. Feitosa, M. Weinmann, and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 7–7, https://doi.org/10.5194/isprs-annals-V-1-2020-7-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-7-2020, 2020
M. Hermann, B. Ruf, M. Weinmann, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 357–364, https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020, 2020
Marion Heublein, Patrick Erik Bradley, and Stefan Hinz
Ann. Geophys., 38, 179–189, https://doi.org/10.5194/angeo-38-179-2020, https://doi.org/10.5194/angeo-38-179-2020, 2020
B. Jutzi, M. Weinmann, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 1–3, https://doi.org/10.5194/isprs-annals-IV-1-1-2018, https://doi.org/10.5194/isprs-annals-IV-1-1-2018, 2018
K. Chen, M. Weinmann, X. Sun, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 29–36, https://doi.org/10.5194/isprs-annals-IV-1-29-2018, https://doi.org/10.5194/isprs-annals-IV-1-29-2018, 2018
R. Gabriel, S. Keller, J. Matthes, P. Waibel, H. B. Keller, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 53–60, https://doi.org/10.5194/isprs-annals-IV-1-53-2018, https://doi.org/10.5194/isprs-annals-IV-1-53-2018, 2018
S. Keller, F. M. Riese, J. Stötzer, P. M. Maier, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 101–108, https://doi.org/10.5194/isprs-annals-IV-1-101-2018, https://doi.org/10.5194/isprs-annals-IV-1-101-2018, 2018
B. Jutzi, M. Weinmann, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 1–3, https://doi.org/10.5194/isprs-archives-XLII-1-1-2018, https://doi.org/10.5194/isprs-archives-XLII-1-1-2018, 2018
K. Chen, M. Weinmann, X. Gao, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 65–72, https://doi.org/10.5194/isprs-annals-IV-2-65-2018, https://doi.org/10.5194/isprs-annals-IV-2-65-2018, 2018
R. Ilehag, M. Weinmann, A. Schenk, S. Keller, B. Jutzi, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 65–71, https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017, 2017
M. Breunig, A. Borrmann, E. Rank, S. Hinz, T. Kolbe, M. Schilcher, R.-P. Mundani, J. R. Jubierre, M. Flurl, A. Thomsen, A. Donaubauer, Y. Ji, S. Urban, S. Laun, S. Vilgertshofer, B. Willenborg, M. Menninghaus, H. Steuer, S. Wursthorn, J. Leitloff, M. Al-Doori, and N Mazroobsemnani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 341–352, https://doi.org/10.5194/isprs-archives-XLII-4-W4-341-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-341-2017, 2017
M. Weinmann, M. S. Müller, M. Hillemann, N. Reydel, S. Hinz, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 399–406, https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017, 2017
R. Ilehag, A. Schenk, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 145–151, https://doi.org/10.5194/isprs-archives-XLII-2-W6-145-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-145-2017, 2017
S. Kuny, H. Hammer, and K. Schulz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 877–881, https://doi.org/10.5194/isprs-archives-XLI-B3-877-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-877-2016, 2016
F. Alshawaf, B. Fersch, S. Hinz, H. Kunstmann, M. Mayer, and F. J. Meyer
Hydrol. Earth Syst. Sci., 19, 4747–4764, https://doi.org/10.5194/hess-19-4747-2015, https://doi.org/10.5194/hess-19-4747-2015, 2015
Short summary
Short summary
This work aims at deriving high spatially resolved maps of atmospheric water vapor by the fusion data from Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite Systems (GNSS), and the Weather Research and Forecasting (WRF) model. The data fusion approach exploits the redundant and complementary spatial properties of all data sets to provide more accurate and high-resolution maps of water vapor. The comparison with maps from MERIS shows rms values of less than 1 mm.
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org