scholarly journals SAR interferometry and surface change detection: Workshop held

Eos ◽  
1994 ◽  
Vol 75 (24) ◽  
pp. 269 ◽  
Author(s):  
T. Dixon
Keyword(s):  
Change Detection ◽  
Sar Interferometry ◽  
Surface Change

Optimisation of the Uav-Ppk-Sfm Workflow for 4d Surface Change Detection in Steep Terrain

2021 ◽  
Author(s):  
Miluska Anthuannet Rosas ◽  
François Clapuyt ◽  
Willem Viveen ◽  
Veerle Vanacker
Keyword(s):  
Change Detection ◽  
Surface Change ◽  
Steep Terrain

Lunar Surface Change Detection with PyNAPLE: The 2017-09-27 Lunar Impact Flash and Impact Crater

2021 ◽  
Author(s):  
Daniel Sheward ◽  
Anthony Cook ◽  
Chrysa Avdellidou ◽  
Marco Delbo ◽  
Bruno Cantarella ◽  
...  
Keyword(s):  
Change Detection ◽  
Lunar Surface ◽  
Impact Crater ◽  
Surface Change ◽  
Lunar Impact ◽  
Impact Flash

scholarly journals Evaluating the potential of post-processing kinematic (PPK) georeferencing for UAV-based structure- from-motion (SfM) photogrammetry and surface change detection

2019 ◽  
Vol 7 (3) ◽  
pp. 807-827 ◽  
Author(s):  
He Zhang ◽  
Emilien Aldana-Jague ◽  
François Clapuyt ◽  
Florian Wilken ◽  
Veerle Vanacker ◽  
...  
Keyword(s):  
Change Detection ◽  
Structure From Motion ◽  
Low Cost ◽  
Post Processing ◽  
Positional Accuracy ◽  
Surface Change ◽  
Ground Control Points ◽  
Single Lens ◽  
Surface Representations ◽  
Uav Images

Abstract. Images captured by unmanned aerial vehicles (UAVs) and processed by structure-from-motion (SfM) photogrammetry are increasingly used in geomorphology to obtain high-resolution topography data. Conventional georeferencing using ground control points (GCPs) provides reliable positioning, but the geometrical accuracy critically depends on the number and spatial layout of the GCPs. This limits the time and cost effectiveness. Direct georeferencing of the UAV images with differential GNSS, such as PPK (post-processing kinematic), may overcome these limitations by providing accurate and directly georeferenced surveys. To investigate the positional accuracy, repeatability and reproducibility of digital surface models (DSMs) generated by a UAV–PPK–SfM workflow, we carried out multiple flight missions with two different camera–UAV systems: a small-form low-cost micro-UAV equipped with a high field of view (FOV) action camera and a professional UAV equipped with a digital single lens reflex (DSLR) camera. Our analysis showed that the PPK solution provides the same accuracy (MAE: ca. 0.02 m, RMSE: ca. 0.03 m) as the GCP method for both UAV systems. Our study demonstrated that a UAV–PPK–SfM workflow can provide consistent, repeatable 4-D data with an accuracy of a few centimeters. However, a few flights showed vertical bias and this could be corrected using one single GCP. We further evaluated different methods to estimate DSM uncertainty and show that this has a large impact on centimeter-level topographical change detection. The DSM reconstruction and surface change detection based on a DSLR and action camera were reproducible: the main difference lies in the level of detail of the surface representations. The PPK–SfM workflow in the context of 4-D Earth surface monitoring should be considered an efficient tool to monitor geomorphic processes accurately and quickly at a very high spatial and temporal resolution.

Man-Made Change Detection Using High-Resolution Cosmo-SkyMed SAR Interferometry

2015 ◽  
Vol 41 (1) ◽  
pp. 201-208 ◽  
Author(s):  
Azzedine Bouaraba ◽  
Aichouche Belhadj-Aissa ◽  
Damien Closson
Keyword(s):  
High Resolution ◽  
Change Detection ◽  
Sar Interferometry

scholarly journals Change Detection and Classification Using High Resolution SAR Interferometry

10.5772/57246 ◽  
2014 ◽  
Author(s):  
Azzedine Bouaraba ◽  
Nada Milisavljević ◽  
Marc Acheroy ◽  
Damien Closson
Keyword(s):  
High Resolution ◽  
Change Detection ◽  
Sar Interferometry
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