Land cover change detection using the internal covariance matrix of the extended kalman filter over multiple spectral bands

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 6, Issue 3, 2013, Pages 1079-1085

  Salmon, Brian Paxton ^a   Kleynhans, Waldo ^a,b   Van Den Bergh, Frans ^a   Olivier, Jan Corne ^c   Grobler, Trienko Lups ^b   Wessels, Konrad Johan ^a  

^a DSI CSIR Nanotechnology Innovation Centre   (South Africa)

^b UNIVERSITY OF PRETORIA   (South Africa)

^c UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Change detection algorithms; covariance matrix; Kalman filter; spatial information; time series analysis

Indexed keywords

CHANGE DETECTION ALGORITHMS; HUMAN SETTLEMENTS; INTERNAL OPERATIONS; LAND-COVER CHANGE; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; REFLECTANCE VALUES; SPATIAL INFORMATIONS; STATE PARAMETERS;

IMAGE RECONSTRUCTION; KALMAN FILTERS; RADIOMETERS; SIGNAL DETECTION; TIME SERIES ANALYSIS;

COVARIANCE MATRIX;

ACCURACY ASSESSMENT; ALGORITHM; COVARIANCE ANALYSIS; KALMAN FILTER; LAND COVER; MATRIX; MODIS; TIME SERIES ANALYSIS;

EID: 84880082285     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2241023     Document Type: Article

References (15)

1. P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, "Dig ital change detection methods in ecosystem monitoring: A review, " Int. J. Remote Sens., vol. 25, no. 9, pp. 1565-1596, May 2004. (Pubitemid 38516797)
2. D. Lu, P. Mausel, E. Brondizio, and E. Moran, "Change detection techniques, " Int. J. Remote Sens., vol. 25, no. 12, pp. 2365-2407, Jun. 2004. (Pubitemid 38973496)
3. R. Lunetta, J. Knight, J. Ediriwickrema, J. Lyon, and L. Worthy, "Land-cover change detection using multi-temporal MODIS NDVI data, " Remote Sens. Environ., vol. 105, no. 2, pp. 142-154, Nov. 2006. (Pubitemid 44634591)
4. J. Borak, E. Lambin, and A. Strahler, "The use of temporal metrics for land cover change detection at coarse spatial scales, " Int. J. Remote Sens., vol. 21, no. 6, pp. 1415-1432, Apr. 2000. (Pubitemid 30242142)
5. B. Salmon et al., "Unsupervised land cover change detection: Meaningful sequential time series analysis, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 4, no. 2, pp. 327-335, Jun. 2011.
6. S. Lhermitte et al., "Hierachical image segmentation based on similarity of NDVI time-series, " Remote Sens. Environ., vol. 112, no. 2, pp. 506-512, Feb. 2008.
7. T. Udelhoven, "TimeStats: A software tool for the retrieval of temporal patterns from global satellite archives, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 4, no. 2, pp. 310-317, Jun. 2011.
8. W. Kleynhans et al., "Improving land cover class separation using an Extended Kalman Filter on MODIS NDVI time-series data, " IEEE Geosci. Remote Sens. Lett., vol. 7, no. 2, pp. 381-385, Apr. 2010.
9. W. Kleynhans et al., "Detecting land cover change using an Extended Kalman Filter on MODIS NDVI time series data, " IEEE Geosci. Remote Sens. Lett., vol. 8, no. 3, pp. 507-511, May 2011.
10. B. Salmon et al., "Meta-optimization of the Extended Kalman filter's parameters for improved feature extraction on hyper-temporal images, " in Proc. IEEE Int. Geosci. and Remote Sensing Symp. (IGARSS), 2011, pp. 2543-2546.
11. C. Bishop, Neural Networks for Pattern Recognition, 1st ed. New York, NY, USA: Oxford Univ. Press, 1996.
12. C. Schaaf et al., "First operational BRDF, albedo nadir reflectance product from MODIS, " Remote Sens. Environ., vol. 83, no. 1/2, pp. 135-148, Nov. 2002. (Pubitemid 35307465)
13. B. Salmon et al., "The use of a Multilayer Perceptron for detecting new human settlements from a time series of MODIS images, " Int. J. Appl. Earth Observ. Geoinf., vol. 13, no. 6, pp. 873-883, Dec. 2011.
14. B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications, 1st ed. London, U.K.: Artech House, 2004.
15. B. Salmon et al., "A search algorithm to meta-optimize the parameters for an extended Kalman filter to improve classification on hyper-temporal images, " in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), 2012, pp. 1-4.