Change detections from sar images for damage estimation based on a spatial chaotic model

Tzeng, Y.C.; Chiu, S.H.; Chen, D.; Chen, K.S.

doi:10.1109/igarss.2007.4423203

Cited by 11 publications

(9 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, speckle has more effect in the Pauli vector (12.17% and 11.89% for San Francisco Bay and Flevoland, correspondingly). According to Tzeng et al [2007], speckle can be modeled in the spatial chaotic system and characterized by its fractal dimension. Accordingly, speckle is modeled properly in the proposed fractal feature vector and its effect is minimized.…”

Section: Resultsmentioning

confidence: 99%

“…Many researchers had already proven that the polarimetric SAR signal is chaotic and follows fBm [Goodman, 1976;Mcdonald et al, 2002]. According to Tzeng et al [2007], polarimetric SAR images can be modeled in nonlinear dynamic system and characterized by its fractal dimension. According to Figure 1, the proposed feature vector is constructed from the Pauli vector and its fractal dimensions as following equation.…”

Section: Fractal Feature Vectormentioning

confidence: 99%

See 1 more Smart Citation

Contextual PolSAR image classification using fractal dimension and support vector machines

Aghababaee

Amini

Tzeng

2013

European Journal of Remote Sensing

View full text Add to dashboard Cite

In this paper, a new classification scheme of polarimetric synthetic aperture radar (PolSAR) images using fractal dimension as contextual information is proposed. Support vector machines (SVM) due to their ability to handle the nonlinear classifier problem are applied to a new fractal feature vector, which is constructed from Pauli decomposed vector and fractal dimensions. Fractal dimension is computed based on the concepts of fractional Brownian motion (fBm) and wavelet multi-resolution analysis using a self-adaptive window approach and fuzzy logic. The experimental results on AIRSAR images prove effectiveness of the proposed vector in comparison to the Pauli decomposed vector.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Fractal Feature Vectormentioning

confidence: 99%

Contextual PolSAR image classification using fractal dimension and support vector machines

Aghababaee

Amini

Tzeng

2013

European Journal of Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Crucial for all change detection techniques is the selection and determination of a useful threshold to distinguish between damaged and undamaged buildings or to determine different grades of damage classes [93].…”

Section: Change Detection-damage Assessmentmentioning

confidence: 99%

Rapid Damage Assessment by Means of Multi-Temporal SAR — A Comprehensive Review and Outlook to Sentinel-1

2014

View full text Add to dashboard Cite

Fast crisis response after natural disasters, such as earthquakes and tropical storms, is necessary to support, for instance, rescue, humanitarian, and reconstruction operations in the crisis area. Therefore, rapid damage mapping after a disaster is crucial, i.e., to detect the affected area, including grade and type of damage. Thereby, satellite remote sensing plays a key role due to its fast response, wide field of view, and low cost. With the increasing availability of remote sensing data, numerous methods have been developed for damage assessment. This article gives a comprehensive review of these techniques focusing on multi-temporal SAR procedures for rapid damage assessment: interferometric coherence and intensity correlation. The review is divided into six parts: First, methods based on coherence; second, the ones using intensity correlation; and third, techniques using both methodologies combined to increase the accuracy of the damage assessment are reviewed. Next, studies using additional data (e.g., GIS and optical imagery) to support the damage assessment and increase its accuracy are reported. Moreover, selected studies on post-event SAR damage assessment techniques and examples of other applications of the interferometric coherence are presented. Then, the preconditions for a successful worldwide application of multi-temporal SAR methods for damage assessment and the limitations of current SAR satellite missions are reported. Finally, an outlook to the Sentinel-1 SAR mission shows possible solutions of these limitations, enabling a worldwide applicability of the presented damage assessment methods.

show abstract

“…Xiao and Li, 2002) and the fractal theory (e.g. Tzeng et al, 2007). Now there is still not a uniform standard, not a universal detection algorithm and even not an optimal algorithm for the SAR image change detection.…”

Section: Introductionmentioning

confidence: 97%

“…Because SAR can acquire the ground object information under all weather and at all times, the SAR image change detection technique has been widely applied in many fields, such as detecting and assessing natural disasters (earthquake, flood, mud-rock flow, forest fire); monitoring and surveying ocean resources; monitoring and assessing environmental changes and pollutions; obtaining dynamic information (land utilization, city growth); monitoring and evaluating crop growth; updating geographic database (e.g. Lee and Florrence, 1997;Quegan et al, 2000;Nonaka et al, 2007;Tzeng et al, 2007;Wulder et al, 2008;Bayarsaikhan et al, 2009;Gao and Liu, 2010). In 2008, two extraordinarily serious natural disasters happened in China.…”

Section: Introductionmentioning

confidence: 99%

Change detection method based on fractal model and wavelet transform for multitemporal SAR images

Huang¹,

Cai²,

Chen³

et al. 2011

International Journal of Applied Earth Observation and Geoinfor

View full text Add to dashboard Cite

Change detections from sar images for damage estimation based on a spatial chaotic model

Cited by 11 publications

References 5 publications

Contextual PolSAR image classification using fractal dimension and support vector machines

Contextual PolSAR image classification using fractal dimension and support vector machines

Rapid Damage Assessment by Means of Multi-Temporal SAR — A Comprehensive Review and Outlook to Sentinel-1

Change detection method based on fractal model and wavelet transform for multitemporal SAR images

Contact Info

Product

Resources

About