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.