Filtering of radar images for geological structural mapping

1994 ◽  
Author(s):  
Catherine Mering ◽  
Jean-Francois Parrot
Keyword(s):  
Structural Mapping ◽  
Radar Images

scholarly journals Contribution of RADARSAT-1 Images to Structural Geological Mapping and Lineament Density Assessment in the Lobo River Watershed at Nibéhibé (Centre-West, Côte d'Ivoire)

2021 ◽  
Vol 2 (4) ◽  
pp. 15-20
Author(s):  
Souleymane Gningnéri Ouattara ◽  
Brou Dibi ◽  
Jules Mangoua Oi Mangoua
Keyword(s):  
High Efficiency ◽  
Orientation Distribution ◽  
Fracture Network ◽  
Geological Mapping ◽  
Lineament Density ◽  
Management Tools ◽  
Structural Mapping ◽  
Median Filters ◽  
Radar Images ◽  
Lack Of Control

The populations living in the Lobo watershed at Nibéhibé are experiencing difficulties in obtaining drinking water. This situation is due to several factors, including a lack of control of the hydrogeological environment. The present study assesses the fracture network that has affected the Precambrian basement aquifer of the Lobo at Nibéhibé catchment area by structural mapping and by studying the spatial distribution of the lineaments. To do this, the study exploits the contribution of radar images. Manually and with the use of adaptive and median filters, 1330 lineaments of varying lengths were derived from the RADARSAT-1 image. The validation approach was based on the comparison of the lineament’s orientations of the current study with those of previous studies, and on the position of the geophysically-implanted boreholes relative to the fractures. This approach showed that the lineaments would most often correspond to fractures and would be involved in the occurrence of groundwater. The analysis of the orientation distribution of the lineaments revealed the heterogeneity of the directions and the predominance of the N-S and E-W family directions. The lineament density map showed that the study area is intensely fractured with a proportion of 93%. The results obtained from this thematic map are useful for the implementation of high efficiency hydraulic drilling programmes and for the implementation of water resources management tools.

Methods for Blind Evaluation of Noise Variance in Multichannel Optical and Radar Images

2006 ◽  
Vol 65 (6) ◽  
pp. 527-556 ◽  
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
N. N. Ponomarenko ◽  
Benoit Vozel ◽  
Kacem Chehdi
Keyword(s):  
Noise Variance ◽  
Radar Images

Study of the route correction system for the on-board navigation system of an unmanned aerial vehicle on the grounds of radar images of the terrain

2020 ◽  
pp. 129-134
Keyword(s):  
Predictive Model ◽  
Unmanned Aerial Vehicle ◽  
Predictive Models ◽  
Navigation System ◽  
Error Compensation ◽  
Compensation Scheme ◽  
Radar Images ◽  
Aerial Vehicle ◽  
System Errors ◽  
Correction System

The system of route correction of an unmanned aerial vehicle (UAV) is considered. For the route correction the on-board radar complex is used. In conditions of active interference, it is impossible to use radar images for the route correction so it is proposed to use the on-board navigation system with algorithmic correction. An error compensation scheme of the navigation system in the output signal using the algorithm for constructing a predictive model of the system errors is applied. The predictive model is building using the genetic algorithm and the method of group accounting of arguments. The quality comparison of the algorithms for constructing predictive models is carried out using mathematical modeling.

The research study in the convergence of the results of processing radar images Sentinel-1A with field observations of agricultural sites

2019 ◽  
Vol 950 (8) ◽  
pp. 52-58
Author(s):  
D.V. Mozer ◽  
Е.L. Levin ◽  
A.K. Satbergenova
Keyword(s):  
Satellite Remote Sensing ◽  
Satellite Images ◽  
Research Study ◽  
High Accuracy ◽  
Agricultural Fields ◽  
Field Observations ◽  
Radar Images ◽  
The Earth ◽  
Radar Satellite ◽  
Modern Technologies

The manuscript discusses how to monitor the condition of seedlings on agricultural fields planted with winter wheat, fodder maize and areas of fir forest located in the Freudenstadt district of Baden-Wuerttemberg in Germany. To solve the range of agricultural problems , they often use modern technologies such as satellite remote sensing of the Earth. The paper displays the monitoring results of the Sentinel-1A radar satellites scenes, as well as visual spectrum imagery of field observations are presented when leaving directly to terrain segments. The processing deployed data chain, consisting of 11 Sentinel-1A scenes acquired in the timefrane from March to November 2018. Specifically, the SNAP Sentinel Toolboxes software was used to process the radar satellite images Sentinel-1А, the. Based on the the research outcomes the Committee of Agriculture of the Freudenstadt district is able to predict the yield amount with high accuracy due to good data convergence. According to the study, the following three important problems can be resolved by means of Sentinel-1A imagery

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