Evaluation of Mapping Accuracy of High-Resolution Stereoscopic Satellite Images

Authors

  • Hossam H. El-Semary Faculty of Engineering-Shobra , Benha University-Cairo-Egypt

Keywords:

Stereoscopic, High Resolution, Satellite Images, Spatial Accuracy.

Abstract

High resolution satellite images is still used in large scale mapping due to the need to produce fast products. High resolution stereoscopic satellite images present good enough 3d products that include the benefits of large-scale coverage and low-cost products. A stereopair of IKONOS satellite is used in this research that covers a part of North Sudan country. The study handles the 3d mapping accuracy of using stereoscopic satellite images. The study gives a spotlight on the accuracy in X, Y, Z and the space vector R. Another view of this study the N, E and elevation is indicated. The research environment is mainly ENVI software due to its capabilities of topographic processing module. Some distributed set of ground points (control and tie) was determined on the images and then observed using GPS surveying. Several experiments have been performed to evaluate the resulted mapping product.

References

. A. Serwa, Automatic Extraction of Topographic Features from Digital Images. PhD thesis, Cairo: Faculty of Engineering in Cairo- Azhar University, 2009.

. Tridipa Biswas, Kamal Pandey, Annadurai R., "Satellite Photogrammetry based DEM Generation using Satellite Stereo Pair Images and Terrain Parameters Extraction," Int. Journal of Advances in Remote Sensing and GIS,, vol. 4, no. 2, pp. 64-76, 2016.

. S. I. Corporation, "IKONOS Stereo Satellite Imagery," 19 July 2012. [Online]. Available: www.satimagingcorp.com.svc/ikonos-stereo-satellite-image.html.

. A. Serwa and H. Semarry, "Integration of Soft Computational Simulator and Strapdown Inertial Navigation System for Aerial Surveying Project Planning," Spatial Information Research (SPIR), vol. 24, no. 3, p. 279–290, June 2016.

. A. Serwa, "Development of Soft Computational Simulator for Aerial Imagery Project Planning," Surveying and Land Information Science (SaLIS), vol. 75, no. 2, 2016.

. K. Murthy, M. Shearn, B. D. Smiley, A. H. Chau, J. Levine and D. and Robinson, "Skysat-1: very high-resolution imagery from a small satellite.," International Society for Optics and Photonics, 2014.

. Michael Xie, Neal Jean, Marshall Burke, David Lobell, and Stefano Ermon, "Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping," in AAAI Conference on Artificial Intelligence (AAAI-16), 2016.

. M. Jordan, "Why the logistic function? A tutorial discussion on probabilities and neural networks," Massachusetts Institute of Technology, Massachusetts, 1995.

. B. DasGupta and G. Schnitger, the Power of Approximating: A Comparison of Activation, Advances in Neura Information Processing Systems ed., San Mateo, CA: Morgan Kaufmann Publishers, 1993.

. C. Özkan and F. S. Erbek, "The Comparison of Activation Functions for," Photogrammetric Engineering & Remote Sensing, vol. 69, no. 11, p. 1225–1234, 2003.

. Wang, Qian; Wang, Yi; Niu, Ruiqing; Peng, Ling, "Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China," Remote Sensing, vol. 9, no. 938, p. 9, 2017.

. Charlotte Pelletier, Silvia Valero, Jordi Inglada, Nicolas Champion, Claire Marais Sicre and Gérard Dedieu, "Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series," Remote Sensing, vol. 9, no. 2, p. 2, 2017.

. Ratna Sari Dewi, Wietske Bijker, Alfred Stein and Muh Aris Marfai, "Transferability and Upscaling of Fuzzy Classification for Shoreline Change over 30 Years," Remote Sensing, vol. 10, no. 9, p. 1377, 2018.

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Published

2019-07-25

How to Cite

H. El-Semary, H. (2019). Evaluation of Mapping Accuracy of High-Resolution Stereoscopic Satellite Images. American Scientific Research Journal for Engineering, Technology, and Sciences, 58(1), 34–43. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/4968

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