CLASSIFICATION OF EMPTY LAND AND SETTLEMENT PHOTOS USING SELF ORGANIZING MAP METHOD
Keywords:
Aerial photography, classification, SOMAbstract
Aerial Photos is the result of shooting an area of a certain height, in atmospheric space using a camera. For example shooting using airplanes, helicopters, blimps, drones or UAVs. Close review of aerial photography is to analyze land cover. One way to do the classification of images using the Artificial Neural Network method in aerial photography. ANN is a mathematical model, which imitates the workings of the nervous system of the human brain's nervous system. The way the nervous system of the human brain works is the transmission of signals from one neuron to thousands of other neurons. The Learning Model used is the Self Oganizing Map. SOM (Self Organizing Map), which is sometimes also known as Kohonen neural network system, is an artificial neural network model whose learning is unsupervised. This SOM learning system is grouping units according to a certain pattern with areas in the same class..
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References
Satelit, F.U.d.C., http://terra-image.com/foto-udara-dan-citra-satelit/ Online Available, 2018.
Larasati, N.M., S. Subiyanto, and A. Sukmono, Analisis penggunaan dan pemanfaatan tanah (P2T) menggunakan sistem informasi geografis Kecamatan Banyumanik tahun 2016. Jurnal Geodesi Undip, 2017. 6(4): p. 89-97.
Wulandhari, L.A., Artificial Neural Network Part 1. https://socs.binus.ac.id/2017/02/27/artificial- neural-network-part-1/.
Pratiwi, D., The use of self organizing map method and feature selection in image database classification system. arXiv preprint arXiv:1206.0104, 2012. 3(2): p. 157-165.
Bukkuri, A., Optimal control analysis of combined chemotherapy-immunotherapy treatment regimens in a PKPD cancer evolution model. Biomath, 2020. 9(1): p. 1-12 DOI: https://doi.org/10.11145/j.biomath.2020.08.173.
Amirbek, A., et al., THE CENTRAL ASIAN COUNTRIES IN THE GLOBAL ECONOMY: THE CHALLENGES OF ECONOMIC INTEGRATION. Central Asia & the Caucasus (14046091), 2020. 21(1) DOI: https://doi.org/10.37178/ca-c.20.1.09.
Cesarec, I., R. Mikac, and D. Spevec, The Concept of Human Security as a Basis for the Application of Big Data Concept in Establishment of Early Warning System for Crisis Management in the Republic of Croatia. Croatian International Relations Review, 2020. 26(86): p. 72-95 DOI: https://doi.org/10.37173/cirr.26.86.3.
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