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

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Bibliographic data

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

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 7 APPLICATIONS IN FORESTRY
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
A LOCAL CORRELATION APPROACH FOR THE FUSION OF REMOTE SENSING DATA WITH DIFFERENT SPATIAL RESOLUTIONS IN FORESTRY APPLICATIONS. J. Hill, C. Diemer, O. Stöver, Th. Udelhoven
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects
  • Cover
  • ColorChart
  • Title page
  • CONTENTS
  • PREFACE
  • TECHNICAL SESSION 1 OVERVIEW OF IMAGE / DATA / INFORMATION FUSION AND INTEGRATION
  • DEFINITIONS AND TERMS OF REFERENCE IN DATA FUSION. L. Wald
  • TOOLS AND METHODS FOR FUSION OF IMAGES OF DIFFERENT SPATIAL RESOLUTION. C. Pohl
  • INTEGRATION OF IMAGE ANALYSIS AND GIS. Emmanuel Baltsavias, Michael Hahn,
  • TECHNICAL SESSION 2 PREREQUISITES FOR FUSION / INTEGRATION: IMAGE TO IMAGE / MAP REGISTRATION
  • GEOCODING AND COREGISTRATION OF MULTISENSOR AND MULTITEMPORAL REMOTE SENSING IMAGES. Hannes Raggam, Mathias Schardt and Heinz Gallaun
  • GEORIS : A TOOL TO OVERLAY PRECISELY DIGITAL IMAGERY. Ph.Garnesson, D.Bruckert
  • AUTOMATED PROCEDURES FOR MULTISENSOR REGISTRATION AND ORTHORECTIFICATION OF SATELLITE IMAGES. Ian Dowman and Paul Dare
  • TECHNICAL SESSION 3 OBJECT AND IMAGE CLASSIFICATION
  • LANDCOVER MAPPING BY INTERRELATED SEGMENTATION AND CLASSIFICATION OF SATELLITE IMAGES. W. Schneider, J. Steinwendner
  • INCLUSION OF MULTISPECTRAL DATA INTO OBJECT RECOGNITION. Bea Csathó , Toni Schenk, Dong-Cheon Lee and Sagi Filin
  • SCALE CHARACTERISTICS OF LOCAL AUTOCOVARIANCES FOR TEXTURE SEGMENTATION. Annett Faber, Wolfgang Förstner
  • BAYESIAN METHODS: APPLICATIONS IN INFORMATION AGGREGATION AND IMAGE DATA MINING. Mihai Datcu and Klaus Seidel
  • TECHNICAL SESSION 4 FUSION OF SENSOR-DERIVED PRODUCTS
  • AUTOMATIC CLASSIFICATION OF URBAN ENVIRONMENTS FOR DATABASE REVISION USING LIDAR AND COLOR AERIAL IMAGERY. N. Haala, V. Walter
  • STRATEGIES AND METHODS FOR THE FUSION OF DIGITAL ELEVATION MODELS FROM OPTICAL AND SAR DATA. M. Honikel
  • INTEGRATION OF DTMS USING WAVELETS. M. Hahn, F. Samadzadegan
  • ANISOTROPY INFORMATION FROM MOMS-02/PRIRODA STEREO DATASETS - AN ADDITIONAL PHYSICAL PARAMETER FOR LAND SURFACE CHARACTERISATION. Th. Schneider, I. Manakos, Peter Reinartz, R. Müller
  • TECHNICAL SESSION 5 FUSION OF VARIABLE SPATIAL / SPECTRAL RESOLUTION IMAGES
  • ADAPTIVE FUSION OF MULTISOURCE RASTER DATA APPLYING FILTER TECHNIQUES. K. Steinnocher
  • FUSION OF 18 m MOMS-2P AND 30 m LANDS AT TM MULTISPECTRAL DATA BY THE GENERALIZED LAPLACIAN PYRAMID. Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Ivan Pippi
  • OPERATIONAL APPLICATIONS OF MULTI-SENSOR IMAGE FUSION. C. Pohl, H. Touron
  • TECHNICAL SESSION 6 INTEGRATION OF IMAGE ANALYSIS AND GIS
  • KNOWLEDGE BASED INTERPRETATION OF MULTISENSOR AND MULTITEMPORAL REMOTE SENSING IMAGES. Stefan Growe
  • AUTOMATIC RECONSTRUCTION OF ROOFS FROM MAPS AND ELEVATION DATA. U. Stilla, K. Jurkiewicz
  • INVESTIGATION OF SYNERGY EFFECTS BETWEEN SATELLITE IMAGERY AND DIGITAL TOPOGRAPHIC DATABASES BY USING INTEGRATED KNOWLEDGE PROCESSING. Dietmar Kunz
  • INTERACTIVE SESSION 1 IMAGE CLASSIFICATION
  • AN AUTOMATED APPROACH FOR TRAINING DATA SELECTION WITHIN AN INTEGRATED GIS AND REMOTE SENSING ENVIRONMENT FOR MONITORING TEMPORAL CHANGES. Ulrich Rhein
  • CLASSIFICATION OF SETTLEMENT STRUCTURES USING MORPHOLOGICAL AND SPECTRAL FEATURES IN FUSED HIGH RESOLUTION SATELLITE IMAGES (IRS-1C). Maik Netzband, Gotthard Meinel, Regin Lippold
  • ASSESSMENT OF NOISE VARIANCE AND INFORMATION CONTENT OF MULTI-/HYPER-SPECTRAL IMAGERY. Bruno Aiazzi, Luciano Alparone, Alessandro Barducci, Stefano Baronti, Ivan Pippi
  • COMBINING SPECTRAL AND TEXTURAL FEATURES FOR MULTISPECTRAL IMAGE CLASSIFICATION WITH ARTIFICIAL NEURAL NETWORKS. H. He , C. Collet
  • TECHNICAL SESSION 7 APPLICATIONS IN FORESTRY
  • SENSOR FUSED IMAGES FOR VISUAL INTERPRETATION OF FOREST STAND BORDERS. R. Fritz, I. Freeh, B. Koch, Chr. Ueffing
  • A LOCAL CORRELATION APPROACH FOR THE FUSION OF REMOTE SENSING DATA WITH DIFFERENT SPATIAL RESOLUTIONS IN FORESTRY APPLICATIONS. J. Hill, C. Diemer, O. Stöver, Th. Udelhoven
  • OBJECT-BASED CLASSIFICATION AND APPLICATIONS IN THE ALPINE FOREST ENVIRONMENT. R. de Kok, T. Schneider, U. Ammer
  • Author Index
  • Keyword Index
  • Cover

Full text

International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 
198 
and image enhancement. Proc. of the International Symposium 
on Remote Sensing of Arid and Semiarid Lands, Cairo, pp. 599- 
616. 
Hill, J., Diemer, C., Stover, O. and Udelhoven, Th., 1998. A 
local correlation approach for the fusion of remote sensing data 
with different spatial resolutions in forestry applications. Proc. 
of the ISPRS Workshop, Expert Meeting on Data Fusion 
Techniques, Freiburg, Germany, 8-9 December 1997, pp. 35- 
46. 
Iverson, A.E. and Lersch, J.R., 1994. Adaptive image 
sharpening using multiresolution representations. Proc. of the 
SPIE, Vol. 2231, pp. 72-83. 
Moran, M.S., 1990. A window-based technique for combining 
Landsat Thematic Mapper thermal data with higher-resolution 
multispectral data over agricultural lands. Photogrammetric 
Engineering and Remote Sensing, 56(3), pp. 337-342. 
Pellemans, A.H.J.M., Jordans, R.W.L. and Allewijn, R., 1993. 
Merging multispectral and panchromatic SPOT images with 
respect to the radiometric properties of the sensor. 
Photogrammetric Engineering and Remote Sensing, 59(1), pp. 
81-87. 
Pradines, D., 1986. Improving spot images size and 
multispectral resolution. Proc. of the SPIE, "Earth Remote 
Sensing Using the Landsat Thematic Mapper and SPOT Sensor 
Systems", Innsbruck, Austria, 15-17 April, Vol. 660, pp. 98- 
102. 
Price, J.C., 1987. Combining panchromatic and multispectral 
imagery from dual resolution satellite instruments. Remote 
Sensing of Environment, 21, pp. 119-128. 
Ranchin, T., Wald, L. and Mangolini, M., 1994. Efficient data 
fusion using wavelet transform: the case of SPOT satellite 
images. Proc. of the SPIE, International Symposium on Optics, 
Imaging and Instrumentation, San Diego, California, 11-16 July 
1993, Vol. 2034, pp. 171-178. 
Ranchin, T. and Wald, L., 1996. Benefits of fusion of high 
spatial and spectral resolutions images for urban mapping. Proc. 
of the 26th International Symposium on Remote Sensing of 
Environment and the 18th Symposium of the Canadian Remote 
Sensing Society, Information Tools for Sustainable 
Development, Vancouver, Canada, 25-29 March, pp. 262-265. 
Roller, N.E.G. and Cox, S., 1980. Comparison of Landsat MSS 
and merged MSS/RBV data for analysis of natural vegetation. 
Proc. of the 14th International Symposium on Remote Sensing 
of Environment, San Jose, Costa Rica, 23-30 April, pp. 1001- 
1007. 
Schowengerdt, R.A., 1980. Reconstruction of multispatial, 
multispectral image data using spatial frequency content. 
Photogrammetric Engineering and Remote Sensing, 46(10), pp. 
1325-1334. 
Shettigara, V.K., 1992. A generalized component substitution 
technique for spatial enhancement of multispectral images using 
a higher resolution data set. Photogrammetric Engineering and 
Remote Sensing, 58(5), pp. 561-567. 
Tom, V.T., 1986. A synergistic approach for multispectral 
image restoration using reference imagery. Proc. of the 
IGARSS'86 Symposium, Zurich, 8-11 September, pp. 559-564, 
ESA publications division, Noordwijk, Netherlands. 
Tom, V.T., Carlotto, M.J. and Scholten, D.K., 1984. Spatial 
resolution improvement of TM thermal band data. Proc. of the 
SPIE, "Applications of Digital Image Processing VII", Vol. 
504, pp. 384-390. 
Tom, V.T. and Carlotto, M.J., 1985. Adaptive least-squares 
technique for multi-band image enhancement. Proc. ICASSP 
International Conference on Acoustics, Speech and Signal 
Processing, Tampa, Florida, 26-29 March, pp. 704-707. 
Vrabel, J., 1996. Multispectral imagery band sharpening study. 
Photogrammetric Engineering and Remote Sensing, 62(9), pp. 
1075-1083. 
Wald, L., Ranchin, T. and Mangolini, M., 1997. Fusion of 
satellite images of different spatial resolutions: assessing the 
quality of resulting images. Photogrammetric Engineering and 
Remote Sensing, 63(6), pp. 691-699. 
Yocky, D.A., 1996. Multiresolution wavelet decomposition 
image merger of Landsat Thematic Mapper and SPOT 
panchromatic data. Photogrammetric Engineering and Remote 
Sensing, 62(9), pp. 1067-1074. 
Zhukov, B., Oertel, D. and Lanzl, F., 1995. A multi-sensor 
multi-resolution technique for satellite remote sensing. Proc. of 
the IGARSS'95 Symposium, Firenze, Italy, 10-14 July, pp. 51- 
53. 
Zhukov, B. and Oertel, D., 1996. Multi-sensor multi-resolution 
technique and its simulation. Zeitschrift fur Photogrammetrie 
und Femerkundung, 64(1), pp. 11-21.
	        

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baltsavias, emmanuel p. Fusion of Sensor Data, Knowledge Sources and Algorithms for Extraction and Classification of Topographic Objects. RICS Books, 1999.
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