Tropospheric delay signal in SAR interferogram and its correction for precise surface change detection

2000 ◽  
Author(s):  
Satoshi Fujiwara ◽  
Makoto Murakami ◽  
Mikio Tobita ◽  
Hiroyuki Nakagawa ◽  
Paul A. Rosen
Keyword(s):  
Change Detection ◽  
Tropospheric Delay ◽  
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.

scholarly journals Mars Surface Change Detection from Multi-temporal Orbital Images

2014 ◽  
Vol 17 ◽  
pp. 012015 ◽  
Author(s):  
Kaichang Di ◽  
Yiliang Liu ◽  
Wenmin Hu ◽  
Zongyu Yue ◽  
Zhaoqin Liu
Keyword(s):  
Change Detection ◽  
Surface Change ◽  
Multi Temporal

Dynamic threshholds for land surface change detection using image differencing

2010 ◽  
Author(s):  
Sang-il Kim ◽  
Kyung-Soo Han ◽  
In-Hwan Kim ◽  
Jong-Min Yeom ◽  
Kyoung-Jin Pi
Keyword(s):  
Change Detection ◽  
Land Surface ◽  
Surface Change ◽  
Image Differencing

Land surface change detection in a desert area in Algeria using multi-temporal ERS SAR coherence images

2001 ◽  
Vol 22 (13) ◽  
pp. 2463-2477 ◽  
Author(s):  
Jian Guo Liu ◽  
A. Black ◽  
H. Lee ◽  
H. Hanaizumi ◽  
J. McM. Moore
Keyword(s):  
Change Detection ◽  
Land Surface ◽  
Desert Area ◽  
Surface Change ◽  
Multi Temporal
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