A real-time semantic segmentation algorithm for aerial imagery

We propose a novel effective algorithm for real-time semantic segmentation of images that has the best accuracy in its class. Based on a comparative analysis of preliminary segmentation methods, methods for calculating attributes from image segments, as well as various algorithms of machine learning...

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Bibliographic Details
Published in:Компьютерная оптика
Main Authors: Yury Blokhinov, Vadim Gorbachev, Yury Rakutin, Andrey Dmitrievich Nikitin
Format: Article
Language:English
Published: Samara National Research University 2018-02-01
Subjects:
image analysis
pattern recognition
detection
classification
aerial images
DSM
superpixels
feature vector
semantic segmentation
machine learning
conditional random fields
Online Access:http://computeroptics.smr.ru/KO/PDF/KO42-1/420117.pdf

Internet

http://computeroptics.smr.ru/KO/PDF/KO42-1/420117.pdf

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