FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING

This article summarises our first results and experiences on the use of multispectral airborne laser scanner (ALS) data. Optech Titan multispectral ALS data over a large suburban area in Finland were acquired on three different dates in 2015–2016. We investigated the feasibility of the data from the...

Full description

Bibliographic Details
Main Authors: L. Matikainen, K. Karila, J. Hyyppä, E. Puttonen, P. Litkey, E. Ahokas
Format: Article
Language:English
Published: Copernicus Publications 2017-10-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/119/2017/isprs-archives-XLII-3-W3-119-2017.pdf
_version_ 1828730040926339072
author L. Matikainen
K. Karila
J. Hyyppä
E. Puttonen
P. Litkey
E. Ahokas
author_facet L. Matikainen
K. Karila
J. Hyyppä
E. Puttonen
P. Litkey
E. Ahokas
author_sort L. Matikainen
collection DOAJ
description This article summarises our first results and experiences on the use of multispectral airborne laser scanner (ALS) data. Optech Titan multispectral ALS data over a large suburban area in Finland were acquired on three different dates in 2015–2016. We investigated the feasibility of the data from the first date for land cover classification and road mapping. Object-based analyses with segmentation and random forests classification were used. The potential of the data for change detection of buildings and roads was also demonstrated. The overall accuracy of land cover classification results with six classes was 96 % compared with validation points. The data also showed high potential for road detection, road surface classification and change detection. The multispectral intensity information appeared to be very important for automated classifications. Compared to passive aerial images, the intensity images have interesting advantages, such as the lack of shadows. Currently, we focus on analyses and applications with the multitemporal multispectral data. Important questions include, for example, the potential and challenges of the multitemporal data for change detection.
first_indexed 2024-04-12T14:41:58Z
format Article
id doaj.art-cab647f4cbdf435f8d435ecb400354f3
institution Directory Open Access Journal
issn 1682-1750
2194-9034
language English
last_indexed 2024-04-12T14:41:58Z
publishDate 2017-10-01
publisher Copernicus Publications
record_format Article
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj.art-cab647f4cbdf435f8d435ecb400354f32022-12-22T03:28:49ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-10-01XLII-3-W311912210.5194/isprs-archives-XLII-3-W3-119-2017FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATINGL. Matikainen0K. Karila1J. Hyyppä2E. Puttonen3P. Litkey4E. Ahokas5Finnish Geospatial Research Institute FGI at the National Land Survey of Finland, Centre of Excellence in Laser Scanning Research, Geodeetinrinne 2, 02430 Masala, FinlandFinnish Geospatial Research Institute FGI at the National Land Survey of Finland, Centre of Excellence in Laser Scanning Research, Geodeetinrinne 2, 02430 Masala, FinlandFinnish Geospatial Research Institute FGI at the National Land Survey of Finland, Centre of Excellence in Laser Scanning Research, Geodeetinrinne 2, 02430 Masala, FinlandFinnish Geospatial Research Institute FGI at the National Land Survey of Finland, Centre of Excellence in Laser Scanning Research, Geodeetinrinne 2, 02430 Masala, FinlandFinnish Geospatial Research Institute FGI at the National Land Survey of Finland, Centre of Excellence in Laser Scanning Research, Geodeetinrinne 2, 02430 Masala, FinlandFinnish Geospatial Research Institute FGI at the National Land Survey of Finland, Centre of Excellence in Laser Scanning Research, Geodeetinrinne 2, 02430 Masala, FinlandThis article summarises our first results and experiences on the use of multispectral airborne laser scanner (ALS) data. Optech Titan multispectral ALS data over a large suburban area in Finland were acquired on three different dates in 2015–2016. We investigated the feasibility of the data from the first date for land cover classification and road mapping. Object-based analyses with segmentation and random forests classification were used. The potential of the data for change detection of buildings and roads was also demonstrated. The overall accuracy of land cover classification results with six classes was 96 % compared with validation points. The data also showed high potential for road detection, road surface classification and change detection. The multispectral intensity information appeared to be very important for automated classifications. Compared to passive aerial images, the intensity images have interesting advantages, such as the lack of shadows. Currently, we focus on analyses and applications with the multitemporal multispectral data. Important questions include, for example, the potential and challenges of the multitemporal data for change detection.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/119/2017/isprs-archives-XLII-3-W3-119-2017.pdf
spellingShingle L. Matikainen
K. Karila
J. Hyyppä
E. Puttonen
P. Litkey
E. Ahokas
FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING
title_full FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING
title_fullStr FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING
title_full_unstemmed FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING
title_short FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING
title_sort feasibility of multispectral airborne laser scanning for land cover classification road mapping and map updating
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/119/2017/isprs-archives-XLII-3-W3-119-2017.pdf
work_keys_str_mv AT lmatikainen feasibilityofmultispectralairbornelaserscanningforlandcoverclassificationroadmappingandmapupdating
AT kkarila feasibilityofmultispectralairbornelaserscanningforlandcoverclassificationroadmappingandmapupdating
AT jhyyppa feasibilityofmultispectralairbornelaserscanningforlandcoverclassificationroadmappingandmapupdating
AT eputtonen feasibilityofmultispectralairbornelaserscanningforlandcoverclassificationroadmappingandmapupdating
AT plitkey feasibilityofmultispectralairbornelaserscanningforlandcoverclassificationroadmappingandmapupdating
AT eahokas feasibilityofmultispectralairbornelaserscanningforlandcoverclassificationroadmappingandmapupdating