Use of SAR and optical time series for tropical forest disturbance mapping

M Hirschmugl, J Deutscher, C Sobe, A Bouvet… - Remote Sensing, 2020 - mdpi.com
Frequent cloud cover and fast regrowth often hamper topical forest disturbance monitoring
with optical data. This study aims at overcoming these limitations by combining dense time …

Exploiting deep matching and SAR data for the geo-localization accuracy improvement of optical satellite images

N Merkle, W Luo, S Auer, R Müller, R Urtasun - Remote Sensing, 2017 - mdpi.com
Improving the geo-localization of optical satellite images is an important pre-processing step
for many remote sensing tasks like monitoring by image time series or scene analysis after …

SAR-optical image matching by integrating Siamese U-Net with FFT correlation

Y Fang, J Hu, C Du, Z Liu… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
The main difficulty of synthetic aperture radar (SAR)-optical image matching or registration
lies in the significant heterogeneous characteristics introduced by the different imaging …

An area-based image fusion scheme for the integration of SAR and optical satellite imagery

Y Byun, J Choi, Y Han - IEEE journal of selected topics in …, 2013 - ieeexplore.ieee.org
The task of enhancing the perception of a scene by combining information captured from
different image sensors is usually known as multisensor image fusion. This paper presents …

Matching of TerraSAR-X derived ground control points to optical image patches using deep learning

T Bürgmann, W Koppe, M Schmitt - ISPRS Journal of Photogrammetry and …, 2019 - Elsevier
High resolution synthetic aperture radar (SAR) satellites like TerraSAR-X are capable of
acquiring images exhibiting an absolute geolocation accuracy within a few centimeters …

[HTML][HTML] A framework for SAR-optical stereogrammetry over urban areas

H Bagheri, M Schmitt, P d'Angelo, XX Zhu - ISPRS journal of …, 2018 - Elsevier
Currently, numerous remote sensing satellites provide a huge volume of diverse earth
observation data. As these data show different features regarding resolution, accuracy …

Mapping with pléiades—end-to-end workflow

R Perko, H Raggam, PM Roth - Remote Sensing, 2019 - mdpi.com
In this work, we introduce an end-to-end workflow for very high-resolution satellite-based
mapping, building the basis for important 3D mapping products:(1) digital surface model,(2) …

Registration of high resolution SAR and optical satellite imagery using fully convolutional networks

S Hoffmann, CA Brust, M Shadaydeh… - IGARSS 2019-2019 …, 2019 - ieeexplore.ieee.org
Multi-modal image registration is a crucial step when fusing images which show different
physical/chemical properties of an object. Depending on the compared modalities and the …

[PDF][PDF] Very high resolution mapping with the Pleiades satellite constellation

R Perko, H Raggam, M Schardt, PM Roth - Am. J. Remote Sens, 2018 - academia.edu
The Pléiades satellite constellation provides very high resolution multi-spectral optical data
at a ground sampling distance of about 0.7 m at nadir direction. Due to the highly agile …

A new approach for optical and sar satellite image registration

N Merkle, R Müller, P Schwind, G Palubinskas… - ISPRS Annals of the …, 2015 - elib.dlr.de
Over the last years several research studies have shown the high geometric accuracy of
high resolution radar satellites like TerraSAR-X. Due to this fact, the impact of high resolution …