XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [ADDITIONAL PAPERS]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: THE BENEFITS OF TERRESTRIAL LASER SCANNING AND HYPERSPECTRAL DATA FUSION PRODUCTS S. J. Buckley, T. H. Kurz, D. Schneider

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia THE BENEFITS OF TERRESTRIAL LASER SCANNING AND HYPERSPECTRAL DATA FUSION PRODUCTS S. J. Buckley", T. H. Kurz*, D. Schneider" “Uni CIPR, Postboks 7810, N-5020 Bergen, Norway - simon.buckley@uni.no, tobias.kurz@uni.no Technische Universität Dresden, Institute of Photogrammetry and Remote Sensing, D-01062 Dresden, Germany — danilo.schneider{@tu-dresden.de TS VII/3, VII/6, I11/2, V/3: Integration of hyperspectral and lidar data KEY WORDS: Hyper spectral, lidar, fusion, visualization, analysis, texture, value-added, photo-realism ABSTRACT: Close range hyperspectral imaging is a developing method for the analysis and identification of material composition in many applications, such as in within the earth sciences. Using compact imaging devices in the field allows near-vertical topography to be imaged, thus bypassing the key limitations of viewing angle and resolution that preclude the use of airborne and spaceborne platforms. Terrestrial laser scanning allows 3D topography to be captured with high precision and spatial resolution. The combination of 3D geometry from laser scanning, and material properties from hyperspectral imaging allows new fusion products to be created, adding new information for solving application problems. This paper highlights the advantages of terrestrial lidar and hyperspectral integration, focussing on the qualitative and quantitative aspects, with examples from a geological field application. Accurate co-registration of the two data types is required. This allows 2D pixels to be linked to the 3D lidar geometry, giving increased quantitative analysis as classified material vectors are projected to 3D space for calculation of areas and examination of spatial relationships. User interpretation of hyperspectral results in a spatially-meaningful manner is facilitated using visual methods that combine the geometric and mineralogical products in a 3D environment. Point cloud classification and the use of photorealistic modelling enhance qualitative validation and interpretation, and allow image registration accuracy to be checked. A method for texture mapping of lidar meshes with multiple image textures, both conventional digital photos and hyperspectral results, is described. The integration of terrestrial laser scanning and hyperspectral imaging is a valuable means of providing new analysis methods, suitable for many applications requiring linked geometric and chemical information. 1. INTRODUCTION Compact and portable hyperspectral sensors are now available, and are applicable to many close range Applications in photogrammetry and remote sensing are often applications, especially in the earth sciences, where the enhanced by the use of multiple sensors that provide remote analysis of mineralogical distribution is often complementary information and therefore improved products important. Such sensors have high spectral resolution, for users. A common example is the combination of laser allowing increasingly complex mineral variations to be scanning and photogrammetry, both terrestrial and aerial, detected (Kurz et al, 2012). In addition, the close range where the high density and precise geometric data from lidar instrument position makes it possible to image steep terrain is given added value using the increased radiometric, spectral and building façades, without the traditional problems and spatial resolution provided by digital metric or semi- associated with airborne and spaceborne imaging where metric imagery (e.g. Axelsson, 1999; Frueh et al., 2005; Fassi spatial resolution and a nadir field of view are problematic. et al., 2011; Guo et al., 2011). Multispectral or hyperspectral The integration of hyperspectral imagery with terrestrial laser sensors have the potential to further complement laser scanning (TLS) has high potential for assisting application scanning topographic data, as an extended part of the experts with interpretation and validation of classification electromagnetic spectrum is recorded with a greater number results, owing to the improved spatial component provided of spectral bands. Such sensors measure many narrow bands, by linking 2D spectral data to 3D lidar geometry. allowing near-continuous reflectance curves to be derived per component image pixel (van der Meer and de Jong, 2001). This paper assesses the benefits of integrating TLS data and Such high spectral sampling makes it possible to analyse close range hyperspectral imagery, focussing on the small variations in material composition, even at the sub- combined products obtainable from these complementary pixel range (Keshava and Mustard, 2002). While the value of techniques. A geological application is used to illustrate the combined airborne lidar and hyperspectral data, for example proposed data fusion products. The paper is structured to in forestry, is being realised (Koch, 2010), in close range give a background to the component techniques and the applications the integration is only now emerging as a multi-sensor integration (Section 2), before the data potential means of linking geometrical and material collection, processing and registration is described (Section properties (Kurz et al., 2008). 3). Section 4 outlines visual methods for exploring the combined data, whilst Section 5 covers quantitative methods and accuracy assessment. " Corresponding author. 541

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