BFAST Lite: A Lightweight Break Detection Method for Time Series Analysis

BFAST Lite: A Lightweight Break Detection Method for Time Series Analysis

BFAST Lite is a newly proposed unsupervised time series change detection algorithm that is derived from the original BFAST (Breaks for Additive Season and Trend) algorithm, focusing on improvements to speed and flexibility. The goal of the BFAST Lite algorithm is to aid the upscaling of BFAST for gl...

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Bibliographic Details
Main Authors: Dainius Masiliūnas, Nandin-Erdene Tsendbazar, Martin Herold, Jan Verbesselt
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
time series
land cover
change detection
BFAST
MODIS
Online Access:https://www.mdpi.com/2072-4292/13/16/3308

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