Testing of land cover classification from multispectral airborne laser scanning data

Krzysztof Bakuła , Przemysław Kupidura , Łukasz Jełowicki

Abstract

Multispectral Airborne Laser Scanning provides a new opportunity for airborne data collection. It provides high-density topographic surveying and is also a useful tool for land cover mapping. Use of a minimum of three intensity images from a multiwavelength laser scanner and 3D information included in the digital surface model has the potential for land cover/use classification and a discussion about the application of this type of data in land cover/use mapping has recently begun. In the test study, three laser reflectance intensity images (orthogonalized point cloud) acquired in green, near-infrared and short-wave infrared bands, together with a digital surface model, were used in land cover/use classification where six classes were distinguished: water, sand and gravel, concrete and asphalt, low vegetation, trees and buildings. In the tested methods, different approaches for classification were applied: spectral (based only on laser reflectance intensity images), spectral with elevation data as additional input data, and spectro-textural, using morphological granulometry as a method of texture analysis of both types of data: spectral images and the digital surface model. The method of generating the intensity raster was also tested in the experiment. Reference data were created based on visual interpretation of ALS data and traditional optical aerial and satellite images. The results have shown that multispectral ALS data are unlike typical multispectral optical images, and they have a major potential for land cover/use classification. An overall accuracy of classification over 90% was achieved. The fusion of multi-wavelength laser intensity images and elevation data, with the additional use of textural information derived from granulometric analysis of images, helped to improve the accuracy of classification significantly. The method of interpolation for the intensity raster was not very helpful, and using intensity rasters with both first and last return numbers slightly improved the results.
Author Krzysztof Bakuła ZFTSIP
Krzysztof Bakuła,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
, Przemysław Kupidura ZFTSIP
Przemysław Kupidura,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
, Łukasz Jełowicki ZFTSIP
Łukasz Jełowicki,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
Journal seriesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 [2194-9034]
Issue year2016
VolXLI-B7
Pages161-169
Publication size in sheets0.5
ConferenceXXIII International Society for Photogrammetry and Remote Sensing Congress (XXIII ISPRS Congress), 12-07-2016 - 19-07-2016, Prague, Czechy
Keywords in Englishmulti-wavelength ALS, texture analysis, classification, data fusion, laser intensity, land cover mapping
DOIDOI:10.5194/isprsarchives-XLI-B7-161-2016
Internal identifier36/2016
Languageen angielski
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2016_Oświadczenie_Bakuła_i_inni_Testing_of_land_36.pdf / 152.77 KB / 2016_Oświadczenie_Bakuła_i_inni_Testing_of_land_36.pdf 152.77 KB
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2016_Oświadczenie_Bakuła_i_inni_Testing_of_land_36.pdf (file archived - login or check accessibility on faculty) 2016_Oświadczenie_Bakuła_i_inni_Testing_of_land_36.pdf 152.77 KB
Score (nominal)15
ScoreMinisterial score = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
Ministerial score (2013-2016) = 15.0, 28-11-2017, ArticleFromJournalAndMatConf
Citation count*7 (2018-02-15)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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