Identification of dynamically homogeneous areas with time series segmentation of remote sensing data

Identification of dynamically homogeneous areas with time series segmentation of remote sensing data

We propose a method of segmentation of remote sensing time series data, which exploits multi-temporal information to identify objects’ boundaries. Extracting homogeneous objects with similar temporal behavior, the method analyzes large volumes of multi-temporal input data in a piecewise way and prod...

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Bibliographic Details
Main Authors: Dmitry Plotnikov, Pavel Kolbudaev, Sergey Bartalev
Format: Article
Language:English
Published: Samara National Research University 2018-06-01
Series:Компьютерная оптика
Subjects:
image segmentation
remote sensing
spectro-temporal metrics
image analysis
Online Access:http://computeroptics.smr.ru/KO/PDF/KO42-3/420313.pdf

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