Quality Assessment of Pre-Classification Maps Generated from Spaceborne/Airborne Multi-Spectral Images by the Satellite Image Automatic Mapper™ and Atmospheric/Topographic Correction™-Spectral Classification Software Products: Part 2 — Experimental Results

Quality Assessment of Pre-Classification Maps Generated from Spaceborne/Airborne Multi-Spectral Images by the Satellite Image Automatic Mapper™ and Atmospheric/Topographic Correction™-Spectral Classification Software Products: Part 2 — Experimental Results

This paper complies with the Quality Assurance Framework for Earth Observation (QA4EO) international guidelines to provide a metrological/statistically-based quality assessment of the Spectral Classification of surface reflectance signatures (SPECL) secondary product, implemented within the popular...

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Bibliographic Details
Main Authors: Andrea Baraldi, Luigi Boschetti, Michael Humber
Format: Article
Language:English
Published: MDPI AG 2013-10-01
Series:Remote Sensing
Subjects:
attentive vision
confusion matrix
degree of uncertainty in measurement
harmonization (reconciliation) of ontologies
land cover classification
multi-spectral image
overlapping area matrix
pre-attentive vision
preliminary classification
probability sampling
quality indicators of operativeness
categorical and spatial accuracy of thematic maps
Online Access:http://www.mdpi.com/2072-4292/5/10/5209

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http://www.mdpi.com/2072-4292/5/10/5209

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