Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

baltsavias, emmanuel p.

Bibliographic data

Monograph

Persistent identifier:: 856473650

Author:: Baltsavias, Emmanuel P.

Title:: Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

Sub title:: Joint ISPRS/EARSeL Workshop ; 3 - 4 June 1999, Valladolid, Spain

Scope:: III, 209 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856473650

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

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

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: TECHNICAL SESSION 4 FUSION OF SENSOR-DERIVED PRODUCTS

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: ANISOTROPY INFORMATION FROM MOMS-02/PRIRODA STEREO DATASETS - AN ADDITIONAL PHYSICAL PARAMETER FOR LAND SURFACE CHARACTERISATION. Th. Schneider, I. Manakos, Peter Reinartz, R. Müller

Document type:: Monograph

Structure type:: Chapter

International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 ANISOTROPY INFORMATION FROM MOMS-02/PRIRODA STEREO DATASETS - AN ADDITIONAL PHYSICAL PARAMETER FOR LAND SURFACE CHARACTERISATION Th. Schneider 1 ,1. Manakos 1 , Peter Reinartz 2 , R. Muller 2 1 Institute for Land Use Planning and Nature Conservation, University of Munich, Am Hochanger 13, D-85354 Freising, e- mail:Tomi.Schneider@lrz.uni-muenchen.de, Ioannis.Manakos@lrz.uni-muenchen.de 2 Institute for Optoelectronics, Postfach 1116, D-82230 Wessling, e-mail: Peter.Reinartz@dlr.de, Rupert.Mueller@dlr.de KEYWORDS: MOMS-2P, Stereo Data, Anisotropy of Backscatter, Angular Signature, BRDF, Radiometric Correction. ABSTRACT Multispectral and stereo band evaluations of mode D data (Blue, NIR, Pan fore and aft) from the M0MS-2P mission on MIR are presented. Along-track MOMS-02 stereo datasets are observations of the earth surface from three distinct view directions with the same illumination conditions. MOMS-02 mode D data allows to investigate three out of five signature types known in remote sensing: spatial, spectral and angular signatures. The remotely sensed signal is always a combination of these three signature types. Visual as well as computer based analysis indicates, that the result of multispectral and anisotropy based classification is determined by different biophysical parameters. In case of vegetation, the spectral approach explores mainly the absorption of incoming radiation by pigments and water, while the anisotropy information is due to stand structure and plant architecture. The synergistic potential of the combined use of multispectral and anisotropy information is pointed out by the increase of the classification accuracy for the combined multispectral and stereo bands evaluation. The results of visual interpretation led to the conclusion that a further substantial increase can be expected using common classification routines. For the retrieval of bio- and geo-physical parameters, the accurate radiometric correction is of decisive importance. Both, radiometric calibration of the sensor, as well as the correction for atmospheric attenuation, are to be performed before a quantitative data analysis. The method used for the radiometric calibration of the M0MS-2P CCD sensor lines used for multispectral and stereo data registration is presented and the results are briefly discussed. The correction for atmospheric attenuation of the stereo data is still under investigation. Due to differing illumination-to-sensor angle for the three view directions of a stereo dataset, each band is corrected individually. The problem is the correct estimation of aerosol type and aerosol scattering function determination. 1. INTRODUCTION The paper presents an approach, which first became possible with quasi-simultaneous stereo datasets from the MOMS-02 system: the analysis of angular signatures from space. For Earth observation, an additional physical parameter can be investigated. Combined with the well-known multispectral information, an increase in classification accuracy and status assessment, as well as improvements in relating the remotely sensed signal to bio- and geo-physical parameters of the surfaces of interest are expected. First investigations with a MOMS-02/D2 dataset from the Sinaloa district in Mexico with intensive cultivated crops and vegetables in flat terrain (Schneider et al., 1999) demonstrate the surprisingly high potential of the anisotropy approach. The presented paper investigates the approach in a Mid- European, flat to hilly landscape in Bavaria, 40 km North from Munich. Compared to the Mexico study, two key parameters are different: • MOMS-2P mode D consists of multispectral band 1 (blue) instead of 3 (red) (and bands 4 (NIR), 6 and 7, which were in both D2 and PRIRODA missions). • the illumination-to-sensor geometry is not favourable for angular signature extraction. The hypotheses of the presented investigations are as follows: • the anisotropy information of along-track stereo datasets can be used complementarity to multispectral data analysis. • the combined use of anisotropy and multispectral information increase classification accuracy and status assessment. Problems with CCT transport from the MIR space station to the base station in Oberpfaffenhofen, where the data were preprocessed, have led to a delay in data delivery. Under this circumstances the presented results are of preliminary character. The paper focuses on features that demonstrate the potential of the anisotropy approach by comparing results in direct competition to the multispectral approach. 1.1. The MOMS-02 system MOMS-02 is the first representative of a new along-track sensor generation, designed for the combined stereo-photogrammetric and thematic mapping of earth’s surface. The Modular Optoelectronic Multispectral Stereo-scanner (MOMS-02) is a

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