Automated flood detection with improved robustness and efficiency using multi-temporal SAR data

Remote Sensing Letters

Volumn 5, Issue 3, 2014, Pages 240-248

  Lu, Jun ^a   Giustarini, Laura ^b   Xiong, Boli ^a   Zhao, Lingjun ^a   Jiang, Yongmei ^a   Kuang, Gangyao ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY   (Luxembourg)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE PROCEDURES; AUTOMATED ALGORITHMS; BIMODAL HISTOGRAMS; CHANGE DETECTION; DIFFERENCE IMAGES; FLOOD DETECTIONS; MULTI-TEMPORAL SAR; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

ALGORITHMS; AUTOMATION; CONSTRAINED OPTIMIZATION; CURVE FITTING; FLOODS; GRAPHIC METHODS; PIXELS; SIGNAL DETECTION;

SYNTHETIC APERTURE RADAR;

ALGORITHM; BACKSCATTER; FLOOD; HISTOGRAM; OPTIMIZATION; PIXEL; SATELLITE DATA; SYNTHETIC APERTURE RADAR; WATER;

EID: 84897910543     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2014.898190     Document Type: Article

References (14)

1. Bovolo, F., and L. Bruzzone. 2005. "A Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images." IEEE Transactions on Geoscience and Remote Sensing 43 (12): 2963-2972. doi:10.1109/TGRS.2005.857987.
2. Celik, T., and K.-K. Ma. 2011. "Multitemporal Image Change Detection Using Undecimated Discrete Wavelet Transform and Active Contours." IEEE Transactions on Geoscience and Remote Sensing 49 (2): 706-716. doi:10.1109/TGRS.2010.2066979.
3. Dellepiane, S., A. Elena, and V. Gianni. 2010. "Processing and Segmentation of COSMO-SkyMed Images for Flood Monitoring." Paper presented at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, HI, July 25-30.
4. Giustarini, L., R. Hostache, P. Matgen, G. J.-P. Schumann, P. D. Bates, and D. C. Mason. 2013. "A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X." IEEE Transactions on Geoscience and Remote Sensing 51 (4): 2417-2430. doi:10.1109/ TGRS.2012.2210901.
5. Gong, M., Z. Zhou, and J. Ma. 2012. "Change Detection in Synthetic Aperture Radar Images Based on Image Fusion and Fuzzy Clustering." IEEE Transactions on Image Processing 21 (4): 2141-2151. doi:10.1109/TIP.2011. 2170702.
6. Gonzalez, R. C., and R. E. Woods. 1992. Digital Image Processing. Reading, MA: Addison-Wesley.
7. Hostache, R., P. Matgen, and W. Wagner. 2012. "Change Detection Approaches for Flood Extent Mapping: How to Select the Most Adequate Reference Image from Online Archives?" International Journal of Applied Earth Observation and Geoinformation 19: 205-213. doi:10.1016/j.jag.2012.05.003.
8. Kittler, J., and J. Illingworth. 1986. "Minimum Error Thresholding." Pattern Recognition 19 (1): 41-47. doi:10.1016/0031-3203(86) 90030-0.
9. Kullback, S. 1987. "The Kullback-Leibler Distance." The American Statistician 41 (4): 340-341.
10. Liu, K., B. Ai, and S. Wang. 2010. "Fish-Pond Change Detection Based on Short Term Time Series of RADARSAT Images and Object-Oriented Method." In 3rd International Congress on the Image and Signal Processing (CISP), edited by Zheng Hua Tan, Yi Wan, Tao Xiang, and Yibin Song, Yantai, October, 2175-2179. Piscataway, NJ: IEEE Press.
11. Matgen, P., R. Hostache, G. Schumann, L. Pfister, L. Hoffmann, and H. H. G. Savenije. 2011. "Towards an Automated SAR-Based Flood Monitoring System: Lessons Learned from Two Case Studies." Physics and Chemistry of the Earth Parts A/B/C 36 (7-8): 241-252. doi:10.1016/j.pce.2010.12.009.
12. Otsu, N. 1979. "A Threshold Selection Method from Gray-Level Histograms." IEEE Transactions on Systems Man and Cybernetics 9 (1): 62-66. doi:10.1109/TSMC.1979.4310076.
13. Sofiane, H., and C. Ferdaous. 2010. "Comparison of Change Detection Indicators in SAR Images." In Paper Presented at the 8th European Conference on Synthetic Aperture Radar (EUSAR), Eurogress Aachen, June, 109-112. Berlin: VDE Publishing House.
14. Xiong, B., J. M. Chen, and G. Kuang. 2012. "A Change Detection Measure Based on a Likelihood Ratio and Statistical Properties of SAR Intensity Images." Remote Sensing Letters 3 (3): 267-275. doi:10.1080/01431161.2011. 572093.