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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:
2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Spatial feature extraction from radar imagery. G. Bellavia, J. Elgy
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
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • Spatial feature extraction from radar imagery. G. Bellavia, J. Elgy
  • Synthetic geological map obtained by remote sensing An application to Palawan Island. F. Bénard & C. Muller
  • The determination of optimum parameters for identification of agricultural crops with airborne SLAR data. P. Binnenkade
  • SLAR as a research tool. G. P. de Loor & P. Hoogeboom
  • Developing tools for digital radar image data evaluation. G. Domik & F. Leberl, J. Raggam
  • Measurements of the backscatter and attenuation properties of forest stands at X-, C- and L-band. D. H. Hoekman
  • Identifying agricultural crops in radar images. P. Hoogeboom
  • Shuttle imaging radar response from sand dunes and subsurface rocks of Alashan Plateau in north-central China. Guo Huadong, G. G. Schaber & C. S. Breed, A. J. Lewis
  • Oil drums as resolution targets for quality control of radar survey data. B. N. Koopmans
  • Detection by side-looking radar of geological structures under thin cover sands in arid areas. B. N. Koopmans
  • Geological analysis of Seasat SAR and SIR-B data in Haiti. Ph. Rebillard, B. Mercier de l'Epinay
  • Digital elevation modeling with stereo SIR-B image data. R. Simard, F. Plourde & T. Toutin
  • EARTHSCAN - A range of remote sensing systems. D. R. Sloggett & C. McGeachy
  • Evaluation of digitally processed Landsat imagery and SIR-A imagery for geological analysis of West Java region, Indonesia. Indroyono Soesilo & Richard A. Hoppin
  • Relating L-band scatterometer data with soil moisture content and roughness. P. J. F. Swart
  • Shuttle Imaging Radar (SIR-A) interpretation of the Kashgar region in western Xinjiang, China. Dirk Werle
  • 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

Giess, S.C. 1984. Edge Detection in SAR 
imagery using gradient operators. Royal 
Signals and Radar Establishment Memorandum 
3743 . 
Haralick, R.M. 1980. Edge and Region Analysis 
for Digital Image Data. Computer Graphics 
and Image Processing. 12:60-73. 
Hardy, D.D. 1985. Today the Earth is 
100 000 000 000 000 Bits.Paper Presented at 
the Int. Conf. on Advanced Technology for 
Monitoring and Processing Global 
Environmental Data.1-4. 
Hough, P.V.C. 1962. Method and Means for 
Recognizing Complex Patterns. U.S Patent 
number 3,069,654. 
Iannino, A & Shapiro, S.D. 1978. A Survey of 
the Hough Transform and its Extensions For 
Curve Detection. Proc. IEEE Comp Sci Conf. 
on Patt. Recog. and Image Proc.32-38. 
Marr, D. & Hildreth, E. 1980. Proc. R. Soc. 
London. 207:187-217. 
Martelli, A. 1972. Edge Detection Using 
Heuristic Search Methods. Computer Graphics 
and Image Processing. 1:169-182. 
Montanari, U. 1971. On The Optimal Detection 
Of Curves In Noisy Pictures. Communications 
of the ACM. 14:335-345. 
Murphy, L.M. 1985. Linear Feature Detection 
and Enhancement in Noisy Images Via the 
Radon Transform. R.A.E U.K report. 
Nasrabadi, N.M et al. 1984. A New Line 
Detection Technique in Noisy Images. In 
Satellite Remote Sensing, Review and 
Preview, Proc 10th Aniversary Conf. Reading 
U.K.237-245. 
Palay, A.J. 1985. Searching With 
Probabilities. Pitman Advanced Publishing 
Program. 
Pratt, W.K. 1978. Digital Image Processing. 
Wiley Interscience. 
Rosenfeld, A. 1981. Image Modelling. 
Rosenfeld, A. & Kak, A.C. 1982. Digital 
Picture Processing. Academic Press. 
Skingley, J. & Rye, A.J. 1985. The Hough 
Transform Applied to SAR Images for Thin 
Line Detection. GEC Research Ltd. Report no. 
Y/251/3077. 
Sloan, K.R. & Ballard, D.H. 1980. Experience 
With The Generalised Hough Transform.Proc.V 
Int. Conf. On Pattern Recognition. Florida. 
174-179. 
Stockman, G.C. & Agrawala, A.K. 1977. 
Equivalence of Hough Curve Detection To 
Template Matching. Communications of The 
ACM. 18:120 
Suk, M. & Hong, S. 1984. An Edge Extraction 
Technique for Noisy Images. Computer Vision, 
Graphics and Image Processing.25:24-45. 
Wallace, R.S. 1985. A Modified Hough 
Transform for Lines. IEEE Conf. on Computer 
Vision & Pattern Recognition. 19-23.
	        

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