The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1203–1209, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1203-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1203–1209, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1203-2020

  14 Aug 2020

14 Aug 2020

INTERACTIVE DIGITAL TERRAIN MODEL ANALYSIS IN ATTRIBUTE SPACE

F. Guiotte1, G. Etaix2, S. Lefèvre3, and T. Corpetti4 F. Guiotte et al.
  • 1Université Rennes 2 – UMR 6554 LETG, France
  • 2Tellus Environment, France
  • 3Univ. Bretagne Sud, UMR 6074, IRISA, F-56000 Vannes, France
  • 4CNRS, UMR 6554 LETG, France

Keywords: Pattern Spectra, LiDAR, DTM, mathematical morphology

Abstract. The use of high-resolution digital terrain model derived from airborne LiDAR system becomes more and more prevalent. Effective multi-scale structure characterization is of crucial importance for various domains such as geosciences, archaeology and Earth observation. This paper deals with structure detection in large datasets with little or no prior knowledge. In a recent work, we have demonstrated the relevance of hierarchical representations to enhance the description of digital elevation models (Guiotte et al., 2019). In this paper, we proceed further and use the pattern spectrum, a multi-scale tool originating from mathematical morphology, further enhanced by hierarchical representations. The pattern spectra allow to globally and efficiently compute the distribution of size and shapes of the objects contained in a digital elevation model. The tree-based pattern spectra used in this paper allowed us to analyse and extract features of interest. We report experiments in a natural environment with two use cases, related to gold panning and dikes respectively. The process is fast enough to allow interactive analysis.