Mohamed Nadjib Kouahla;Brahim Farou;Zineddine Kouahla;Hamid Seridi
References
[1] V. Arellano, M., Griepentrog, H. W., Reiser, D., & Paraforos, D. S. (2016). 3-D imaging systems for agricultural applications—a review. Sensors, 16(5), 618.
[2] Švaco, M., Šekoranja, B., Šuligoj, F., & Jerbic, B. (2014). Calibration of an industrial robot using a stereo vision system. Procedia Engineering, 69, 459-463.
[3] Moore RJD, Thurrowgood S, Soccol D, Bland D, Srinivasan MV (2011) A bio-inspired stereo vision system for guidance of autonomous aircraft. In AsimBhatti (Ed.) Advances in theory and applications of stereo vision. Rijeka, Croatia: InTech. pp. 305–326.
[4] Saberioon, M., Gholizadeh, A., Cisar, P., Pautsina, A., & Urban, J. (2017). Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues. Reviews in Aquaculture, 9(4), 369-387
[5] Moreels, G., Clairemidi, J., Faivre, M., Mougin-Sisini, D., Kouahla, M. N., Meriwether, & Veliz, O. (2008). Stereoscopic imaging of the hydroxyl emissive layer at low latitudes. Planetary and Space Science, 56(11), 1467-1479.
[6] Kouahla, M. N., Faivre, M., Moreels, G., & Seridi, H. (2016). 3D reconstruction of tropospheric cirrus clouds. Advances in Space Research, 58(7), 1362-1375.
[7] Dowling, D.R., Radke, L.F., 1990. A summary of the physical properties of cirrus clouds. J. Appl. Meteorol. 29, 970–978.
[8] International Cloud Atlas, part I, World Meteorological Organization, 1975, 183 p
[9] Heinle, A., Macke, A., Srivastav, A., 2010. Automatic cloud classification of whole sky images. Atmospheric Measurement Techniques 3, 557–567.
[10] Ricciardelli, E., Romano, F., Cuomo, V., 2010. A technique for classifying uncertain MOD35/MYD35 pixels through Meteosat second generation spinning enhanced visible and infrared imager observations. IEEE Transactions on Geoscience and Remote Sensing 48, 2137–2149.
[11] Ameur, Z., Ameur, S., Adane, A., Sauvageot, H., Bara, K., 2004. Cloud classification using the textural features of Meteosat images. International Journal of Remote Sensing 25, 4491–4503.
[12] Ma, Y., Soatto, J.,Kosecka, and S. S. Sastry, An Invitation to 3-D Vision, From Images to Geometric Models, 526 pp., 2004
[13] S.K. Park, I.S. Kweon, “Robust and direct estimation of 3-d motion and scene depth from stereo image sequences,” Pattern Recognition. 32, 1713-1728, 2001
[14] O. Faugeras, G. Toscani, The calibration problem for stereo, In IEEE, Proceedings of the International Conference on Computer Vision and Pattern Recognition. , Miami Beach, 1986, pp.15–20.
[15] D. Pautet, G. Moreels. “Ground-based satellite-type images of the upper atmosphere emissive layer”, Applied Optics, 41, (2002) 823-831
[16] Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge university Press, Cambridge, 2003