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...
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Format: | Article |
Language: | English |
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Copernicus Publications
2017-10-01
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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 |
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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. |
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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 |
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