A sub-optimal, yet effective, non-coherent change detection algorithm for multi-look SAR imagery

2004 ◽  
Author(s):  
Kenneth I. Ranney ◽  
Hiralal Khatri
Keyword(s):  
Change Detection ◽  
Detection Algorithm ◽  
Coherent Change Detection ◽  
Sar Imagery

scholarly journals POST-DISASTER DAMAGE ASSESSMENT THROUGH COHERENT CHANGE DETECTION ON SAR IMAGERY

2018 ◽  
Vol XLII-3 ◽  
pp. 431-436 ◽  
Author(s):  
L. Guida ◽  
P. Boccardo ◽  
I. Donevski ◽  
L. Lo Schiavo ◽  
M. E. Molinari ◽  
...  
Keyword(s):  
Change Detection ◽  
Damage Assessment ◽  
Central Italy ◽  
Weather Conditions ◽  
Earthquake Scenario ◽  
Central Italy Earthquake ◽  
Novel Approach ◽  
Coherent Change Detection ◽  
Sar Imagery ◽  
Bad Weather

Damage assessment is a fundamental step to support emergency response and recovery activities in a post-earthquake scenario. In recent years, UAVs and satellite optical imagery was applied to assess major structural damages before technicians could reach the areas affected by the earthquake. However, bad weather conditions may harm the quality of these optical assessments, thus limiting the practical applicability of these techniques. In this paper, the application of Synthetic Aperture Radar (SAR) imagery is investigated and a novel approach to SAR-based damage assessment is presented. Coherent Change Detection (CCD) algorithms on multiple interferometrically pre-processed SAR images of the area affected by the seismic event are exploited to automatically detect potential damages to buildings and other physical structures. As a case study, the 2016 Central Italy earthquake involving the cities of Amatrice and Accumoli was selected. The main contribution of the research outlined above is the integration of a complex process, requiring the coordination of a variety of methods and tools, into a unitary framework, which allows end-to-end application of the approach from SAR data pre-processing to result visualization in a Geographic Information System (GIS). A prototype of this pipeline was implemented, and the outcomes of this methodology were validated through an extended comparison with traditional damage assessment maps, created through photo-interpretation of high resolution aerial imagery. The results indicate that the proposed methodology is able to perform damage detection with a good level of accuracy, as most of the detected points of change are concentrated around highly damaged buildings.

scholarly journals Wishart-Based Adaptive Temporal Filtering of Polarimetric SAR Imagery

2020 ◽  
Vol 12 (15) ◽  
pp. 2454 ◽  
Author(s):  
Morton J. Canty ◽  
Allan A. Nielsen ◽  
Henning Skriver ◽  
Knut Conradsen
Keyword(s):  
Change Detection ◽  
Detection Algorithm ◽  
Google Earth ◽  
Speckle Reduction ◽  
Intensity Data ◽  
Dual Polarization ◽  
Polarimetric Sar ◽  
Temporal Filtering ◽  
Google Earth Engine ◽  
Sar Imagery

Temporal filtering for speckle reduction of polarimetric SARimages is described. The method is based on a sequential complex Wishart-based change detection algorithm which is applied to polarized SAR imagery, including the dual-polarization intensity data archived on the Google Earth Engine (GEE). Software for convenient application and analysis is presented. Results compare favorably with, and improve upon, standard spatial and temporal filters for speckle reduction.

An online kernel change detection algorithm

2005 ◽  
Vol 53 (8) ◽  
pp. 2961-2974 ◽  
Author(s):  
F. Desobry ◽  
M. Davy ◽  
C. Doncarli
Keyword(s):  
Change Detection ◽  
Detection Algorithm
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