Towards the CNN-based detection of disturbing objects in multi-channel GPR data

Autor: Nathalie Karle, Markus Boldt, Sylvia Schmitz, Antje Thiele

Publikováno v: 19th International Conference on Ground Penetrating Radar.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f96e59ff3d9560a8be77bc64d55eb15d
https://doi.org/10.1190/gpr2022-102.1

Practical approach for synthetic aperture radar change analysis in urban environments

Autor: Markus Boldt, Stefan Hinz, Franz J. Meyer, Antje Thiele, Karsten Schulz

Publikováno v: Journal of applied remote sensing, 13 (03), Article: 0345281

Change detection using remote sensing imagery is a broad and highly active field of research that has produced many different technical approaches for multiple applications. The majority of these approaches have in common that they do not deliver any

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cfee161e63c42ec5aa6f615e9256cf1

ON THE CATEGORIZATION OF HIGH ACTIVITY OBJECTS USING DIFFERENTIAL ATTRIBUTE PROFILES

Autor: Stefan Hinz, Markus Boldt, Karsten Schulz, Antje Thiele

Publikováno v: The international archives of photogrammetry, remote sensing and spatial information sciences, 42 (1), 59-64
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 59-64 (2018)

Change detection represents a broad field of research being on demand for different applications (e.g. disaster management and land use / land cover monitoring). Since the detection itself only delivers information about location and date of the chan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b7225466b1d33c59dec89bbef3cf314
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1/59/2018/

SAR Image Segmentation Using Morphological Attribute Profiles

Autor: Markus Boldt, Karsten Schulz, Antje Thiele, Stefan Hinz

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3, Pp 39-44 (2014)

In the last years, the spatial resolution of remote sensing sensors and imagery has continuously improved. Focusing on spaceborne Synthetic Aperture Radar (SAR) sensors, the satellites of the current generation (TerraSAR-X, COSMO-SykMed) are able to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2981e612b677bd093217e91cb4bc811f
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/39/2014/isprsarchives-XL-3-39-2014.pdf

Using TanDEM data for forest height estimation and change detection

Autor: Stefan Hinz, Clémence Dubois, Markus Boldt, Antje Thiele

Publikováno v: Earth Resources and Environmental Remote Sensing/GIS Applications VII.

Mapping of forest coverage and forest changes became an increasing issue due to deforestation and forest degradation. Moreover, the estimation of related indicators such as carbon reduction, biomass and wood capacity is of large interest for industry

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e973e072b0b03c39b6b018b8d1ae692
https://doi.org/10.1117/12.2241795