Pemanfaatan Google Earth Imagery untuk Segmentasi Lahan Hijau
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Lillesand. T.M., R.W Keifer. Remote Sensing and Image Interpretation. Third Edition. John Willey &
Sons, Inc, United States of America. 1994.
Thomas. David.C, dkk. The Archaeological Sites of Afghanistan in Google Earth. The newsletter of
the Aerial Archaeology Research Group (AARGnews 37) ISSN 1756-753X. 2008
Guo. Jianhong, Liang. Lu dan Gong. Peng. Removing Shadows from Google Earth Images.
International Journal of Remote Sensing. 2010; Vol. 31, No. 6: 1379–1389.
Wilson, J.S., C.M. Kelly. Measuring The Quality of Urban Green Space Using Google Earth: A
Commentary. American Journal of Preventive Medicine. 2010;40(2): 276-277.
Kundra. Er. Harish, dkk. Extraction of Satellite Image using Particle Swarm Optimization.
International Journal of Engineering (IJE). 2010; Volume (4): Issue (1).
Ruzgiene. Birute., Xiang. Qian Yi, Gecyte. Silvija. Rectification of Satellite Imagery from Google
Earth: Applicationfor Large Scale City Mapping. Environmental Engineering: The 8th International
Conference ISBN 978-9955-28-829-9. 2011; (3 Volume).
Almeer. Mohamed H. Vegetation Extraction from Free Google Earth Images of Deserts Using a
Robust BPNN Approach in HSV Space. International Journal of Advanced Research in Computer
and Communication Engineering ISSN : 2278 – 1021. 2012; Vol. 1, Issue 3.
Janssen. Ian, Rosu. Andrei. Measuring sidewalk distances using Google Earth.BMC Medical
Research Methodology. 2012; Vol.12(39).
Stepanus. Reswandi. Analisis Kebutuhan Ruang Terbuka Hijau Di Kota Pekanbaru. Master Thesis.
Bogor: Pascasarjana IPB; 2006.
Agusta. Yudi.K-Means – Penerapan, Permasalahan dan Metode Terkait.Jurnal Sistem dan
Informatika.2007; Vol. 3.47-60
J. B. MacQueen. Some Methods for classification and Analysis of Multivariate
Observations. Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability.
Berkeley, University of California Press. 1967;1:281-297.
Narayana. M. Comparison between Euclidean Distance Metric and SVM for CBIR using Level Set
Features.International Journal of Engineering Science and Technology (IJEST).2012; Vol. 4 No.01.
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