Disparity map generation from satellite stereo pair images and estimating height information using machine learning algorithms

Arati Paul, Krishula Sinha


Stereo vision is generally used in depth information generation. The classical approach involves imaging geometry for generating digital elevation model (DEM) or digital surface model(DSM) from a pair of satellite stereo images. In the present study a software tool has been developed to extract relative depth information of earth features, viz. buildings, in terms of disparity map, from a pair of images with different viewing angles.   Any images of same area acquired in different perspective can be used to generate disparity map using this tool without the knowledge of their imaging parameter. The disparity values are subsequently compared with the LiDAR generated DSM values and a strong correlation has been found between them.Using machine learning algorithm viz. ANN and SVR, heights of unknown ground objects have been predicted from disparity values with an appreciable accuracy.

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Ahuja, S. 2009. Correlation based similarity measures. www.siddhantahuja.wordpress.com /2009/05/20/correlation-based-similarity-measure-normalized-cross-correlation-ncc.

Cortes, C. and Vapnik, V. 1995.Support-vector networks. Machine Learning 20 (3): 273

ISPRS, http://www.commission1.isprs.org/wg4/

Kornus, W., Alamús, R., Ruiz, A., Talaya, J., 2006. DEM generation from SPOT-5 3-fold along track stereoscopic imagery using autocalibration. ISPRS Journal of Photogrammetry & Remote Sensing. 60:147–159.

Krauß, T., REINARTZ, P., LEHNER, M., SCHROEDER, M., STILLA, U., 2005.DEM generation from very high resolution stereo satellite data in urban areas using dynamic programming. ISPRS Hannover Workshop 2005 on “High-Resolution Earth Imaging for Geospatial Information”, Hannover, Germany, 17–20 May. On CD-ROM.

Lubna, B. Md, Hamdan Md. A., Abdelhafez E A. And Shaheen W. 2013, Hourly Solar Radiation Prediction Based on Nonlinear Autoregressive Exogenous (Narx) Neural Network. Jordan Journal of Mechanical and Industrial Engineering, 7(1):11-18, ISSN 1995-6665.

Middlebury, http://vision.middlebury. edu/ ~schar / stereo/web/ results. php

Madani, M. 1999, Real-Time Sensor-Independent Positioning by Rational Functions, Proceedings of ISPRS Workshop on Direct Versus Indirect Methods of Sensor Orientation, Barcelona, Spain, November 25-26, 64-75

Reinartz, P., D’angelo, P., Krauß, T., Poli, D., Jacobsen, K. And Buyuksalih, G. 2010. Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data. ISPRS.

Sadeghian, S., Zoej, M. J. V., Delavarl, M. R., Abootalebiz. A. 2001.Precision rectification of high resolution satellite imagery without ephemeris data. JAG. 3(4).

Zhang, L., Gruen, A. 2006. Multi-image matching for DSM generation from IKONOS imagery. ISPRS Journal of Photogrammetry & Remote Sensing. 60: 195–211.


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