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Remote sensing for resources development and environmental management (Volume 1)

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CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Persistent identifier:
856342815
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856342815
Language:
English
Additional Notes:
Volume 1-3 erschienen von 1986-1988
Editor:
Damen, M. C. J.
Document type:
Multivolume work

Volume

Persistent identifier:
856343064
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
XV, 547 Seiten
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856343064
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(26,7,1)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Damen, M. C. J.
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:
Volume
Collection:
Earth sciences

Chapter

Title:
1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
New approach to semi-automatically generate digital elevation data by using a vidicon camera. C. C. Lin, A. J. Chen & D. C. Chern
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • Structural information of the landscape as ground truth for the interpretation of satellite imagery. M. Antrop
  • Interpretation of classification results of a multiple data set. Helmut Beissmann, Manfred F. Buchroithner
  • Digital processing of airborne MSS data for forest cover types classification. Kuo-mu Chiao, Yeong-kuan Chen & Hann-chin Shieh
  • Methods of contour-line processing of photographs for automated forest mapping. R. I. Elman
  • Detection of subpixel woody features in simulated SPOT imagery. Patricia G. Foschi
  • A GIS-based image processing system for agricultural purposes (GIPS/ALP) - A discussion on its concept. J. Jin King Liu
  • Image optimization versus classification - An application oriented comparison of different methods by use of Thematic Mapper data. Hermann Kaufmann & Berthold Pfeiffer
  • Thematic mapping and data analysis for resource management using the Stereo ZTS VM. Kurt H. Kreckel & George J. Jaynes
  • Comparison of classification results of original and preprocessed satellite data. Barbara Kugler & Rüdiger Tauch
  • Airphoto map control with Landsat - An alternative to the slotted templet method. W. D. Langeraar
  • New approach to semi-automatically generate digital elevation data by using a vidicon camera. C. C. Lin, A. J. Chen & D. C. Chern
  • Man-machine interactive classification technique for land cover mapping with TM imagery. Shunji Murai, Ryuji Matsuoka & Kazuyuli Motohashi
  • Space photomaps - Their compilation and peculiarities of geographical application. B. A. Novakovski
  • Processing of raw digital NOAA-AVHRR data for sea- and land applications. G. J. Prangsma & J. N. Roozekrans
  • Base map production from geocoded imagery. Dennis Ross Rose & Ian Laverty, Mark Sondheim
  • Per-field classification of a segmented SPOT simulated image. J. H. T. Stakenborg
  • Digital classification of forested areas using simulated TM- and SPOT- and Landsat 5/TM-data. H.- J. Stibig, M. Schardt
  • Classification of land features, using Landsat MSS data in a mountainous terrain. H. Taherkia & W. G. Collins
  • Thematic Mapping by Satellite - A new tool for planning and management. J. W. van den Brink & R. Beck, H. Rijks
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer
  • Cover

Full text

[ with the original 
.ower slop, while 
Fig. 8. The synthetic image constructed from DTM of 
Te Chi area. 
Grimson, W. E. L., 1981, "From Images To Surfaces", 
The MIT Press. 
Mckeown, D. M., G. E. Lukes, 1984, "Digital Mapping 
and Image Understandings", ISPRS, Commission 
III, pp. 690-697. 
Pratt, W. K., 1978, "Digital Image Processing", New 
York wiley. 
Ragan, R. M., 1978, "Information Requirements for 
Evaluation and Management of Water Resources", 
Proc. Ninth International Symposium, Machine 
Processing of Remotely Sensed Data, Purdue 
University, pp. 9-13. 
Ragan, R. M. and Fellows, J., 1976, "Development of a 
Regional Information System for Hydrologic 
Modeling", University of Maryland, Technical Report 
46. 
Ragan, R. M. and Jackson, T. J., 1975, "Use of 
Satellite Data in Urban Hydrologic Models", Journal 
of Hydraulics Division, American Society oif Civil 
Engineers. 
Rioley, B. D., 1981, "Spatial Statistics", Wily. 
Rosenfeld, A. and A. C. Kek, 1982, "Digital Picture 
Processing", 2nd Edition, Acadamic Press. 
Sincar, J. K. and R. M. Ragan, 1984, "An Interactive 
Technique Generate Digital Elevation Data 
Using A Vidicon Camera", The Sth William I. Pecora 
Mamorial Remote Sensing Synposium, IEEE Computer 
Society Press, pp.411-418. 
Sircar, J. K., 1984, "An Interactive Technique To 
Generate Digital Elevation Data ", Hydrologic 
Research Series, Remote Systems Sensing Laboratory, 
University of Maryland. 
Tempfli, K., 1977, "Notes on Interpolation", Interna 
tional Institude For Aerial Survey And Earth 
Saences Enschede. 
CYBERNET SERVICES,1981, "Surface Approximation and 
Contour Mapping (SACM) User's Guide", Control Data 
Corporation Pub. 
TRW/ESL, 1985, "Interactive Digital Image 
Manipulation System (IDIMS) VAX-IDIMS Function 
Guide", TRW/ESL, ESL-TM1382. 
. A ridge line is 
ight half of the 
Fig. 9. LANDSAT 5 TM image band 5, taken on August 
22, 1984, of the same area. 
pability of our 
hetic image", as 
computed digital 
rey level at each 
ine of the angle 
-light and local 
e range of 0° and 
ero when the angle 
sons, a protion of 
2, 1984 over the 
The band 4 of TM 
The similarities 
he TM image are 
s, valleys and 
d in Fig. 8. Most 
ly visible in the 
atching can not be 
that the ridge at 
at less in Fig. 8 
ocate the ground 
and a satellite 
rom the fact that 
of stereography, 
ry. With the help 
the control points 
Indeed, Fig. 8 is 
control points are 
selected for registration. With the second order 
polynomial for mapping function, the residual error 
is 0.8 pixels. 
In conclusion, our algorithm is less efficient 
compared to that of Sirca and Ragan (1984). This is 
because several iteration process seems to be 
inevitable if "consistent" interpolation is required 
in a mountaineous terrain. At the expense of some 
computer time, we are able to obtain a more 
realistic Digital Elevation Model for this type of 
terrains. 
REFERENCES 
Capouetti L., M. T. Chiaradia, A. Distante and M. 
Veneziari, 1984, "A Track-following Algorithm For 
Contour Lines of Digital Binary Digital Image 
Analysis", Edited by S. Levialdi. 
Colwell, R. N. 1983, "Munual of Remote Sensing", 
Chap. 19. American Society of Photogrammetry. 
Duda, R. 0., E. Hart, 1973, "Pattern Classification 
And Scene Analysis", John Wiley & Sons, pp. 356- 
362. 
Faintich, M. B., 1984, "State-of-the-Art And Future 
Needs For Developement of Digital Terrain Models , 
ISPRS, comission III,pp. 180-196.
	        

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Damen, M. .C. .J. Remote Sensing for Resources Development and Environmental Management. A. A. Balkema, 1986.
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