Klasifikasi Tutupan Lahan Menggunakan Convolutional Neural Network pada Citra Satelit Sentinel-2

E Miranda, M Aryuni - Sistemasi: Jurnal Sistem Informasi, 2021 - sistemasi.ftik.unisi.ac.id
Perencanaan dan pemantauan penggunaan lahan masih menjadi masalah di banyak
negara berkembang seperti Indonesia. Teknologi konvensional dan observasi lapangan …

Forest encroachment mapping in Baratang Island, India, using maximum likelihood and support vector machine classifiers

LK Tiwari, SK Sinha, S Saran… - Journal of Applied …, 2016 - spiedigitallibrary.org
Maximum likelihood classifier (MLC) and support vector machines (SVMs) are commonly
used supervised classification methods in remote sensing applications. MLC is a parametric …

[PDF][PDF] Performance evaluation of MOA v/s KNN classification schemes: case study of major cities in the world

S Srivas, PG Khot - Int J Comput Sci Eng, 2019 - researchgate.net
Satellite imageries are widely available from various sources which can be used for Land
use/Land cover analysis. Land use/Land cover analysis is necessary for environmental …

Annotation and retrieval of retinal images using support vector machine with active learning

ISH Punithavathi, P GaneshKumar - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
In the medical field, many images are acquired using different modalities like X-ray,
Computed Tomography and Magnetic Resonance Imaging. Organizing these images and …

Comparison of Visual and Object-Based Automatic Methods to Identify Landforms in Yazd-Ardakan Basin

SM Pourbagher Kordi - Iranian Journal of Remote Sensing & GIS, 2018 - gisj.sbu.ac.ir
Identification of dominant landforms is important in a landscape because they applicable in
various types of urban planning, tourism planning, spatial planning, etc. In this study, the …