ACTIVE LEARNING TO EXTEND TRAINING DATA FOR LARGE AREA AIRBORNE LIDAR CLASSIFICATION
ACTIVE LEARNING TO EXTEND TRAINING DATA FOR LARGE AREA AIRBORNE LIDAR CLASSIFICATION
About this item
Full title
Author / Creator
Li, N. and Pfeifer, N.
Publisher
Gottingen: Copernicus GmbH
Journal title
Language
English
Formats
Publication information
Publisher
Gottingen: Copernicus GmbH
Subjects
More information
Scope and Contents
Contents
Training dataset generation is a difficult and expensive task for LiDAR point classification, especially in the case of large area classification. We present a method to automatically extent a small set of training data by label propagation processing. The class labels could be correctly extended to their optimal neighbourhood, and the most informa...
Alternative Titles
Full title
ACTIVE LEARNING TO EXTEND TRAINING DATA FOR LARGE AREA AIRBORNE LIDAR CLASSIFICATION
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ae25cfa9835f47048e8516d648427710
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae25cfa9835f47048e8516d648427710
Other Identifiers
ISSN
2194-9034,1682-1750
E-ISSN
2194-9034
DOI
10.5194/isprs-archives-XLII-2-W13-1033-2019
