Impact of the Scale on Several Metrics Used in Geographical Object-Based Image Analysis: Does GEOBIA Mitigate the Modifiable Areal Unit Problem (MAUP)?

Impact of the Scale on Several Metrics Used in Geographical Object-Based Image Analysis: Does GEOBIA Mitigate the Modifiable Areal Unit Problem (MAUP)?

Using two GEOBIA (Geographical Object Based Image Analysis) algorithms on a set of segmented images compared to grid partitioning at different scales, we show that statistical metrics related to both objects and sets of pixels are (more or less) subject to the Modifiable Areal Unit Problem. Subseque...

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Bibliographic Details
Main Authors: Didier Josselin, Romain Louvet
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
GEOBIA
Modifiable Areal Unit Problem
MAUP
scale effect
aggregation fallacy
object
homogeneity
shape
Online Access:https://www.mdpi.com/2220-9964/8/3/156

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