Localized soft classification for super-resolution mapping of the shoreline

International Journal of Remote Sensing

Volumn 27, Issue 11, 2006, Pages 2271-2285

  Muslim, Aidy ^a   Foody, Giles ^b   Atkinson, Peter ^b  

^a Malaysian Centre for Remote Sensing   (Malaysia)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; IMAGE SENSORS; IMAGING TECHNIQUES; OPTICAL RESOLVING POWER; REMOTE SENSING;

ROOT MEAN SQUARE ERROR; SHORELINE; SPATIAL RESOLUTION IMAGERY; SUPER-RESOLUTION MAPPING;

COASTAL ZONES;

ERROR ANALYSIS; IMAGE ANALYSIS; MAPPING; REMOTE SENSING; SATELLITE IMAGERY; SHORELINE;

ASIA; EURASIA; MALAYSIA; SOUTHEAST ASIA;

EID: 33747112013     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500396741     Document Type: Article

References (25)

1. Aplin, P. and Atkinson, P. M. (2001) Sub-pixel land cover mapping for per-field classification. International Journal of Remote Sensing, 22, pp. 2853-2858.
2. Atkinson, P. M.(1997) Mapping sub-pixel boundaries from remotely sensed images. In Innovations in GIS IV. (pp. 166-180). London: Taylor & Francis.
3. Atkinson, P. M.(2005) Super-resolution land cover classification using geostatistical optimization. In Geostatistics for Environmental Applications GeoENV IV. (pp. 15-28). Dordrecht: Kluwer.
4. Atkinson, P. M. (2005) Super resolution Target mapping from soft-classified remotely sensed imagery. Photogrammetric Engineering and Remote Sensing, 71, pp. 839-846.
5. Cicin-Sain, B. and Robert, W. K.(1998). In Integrated Coastal and Ocean Management: Concept and Practices. Appendix 1: ICM Practices in Twenty-Two Selected Nations, Part II: Middle Developing Nations, Case Study on Malaysia. (pp. 373-380). Washington D.C.: Island Press.
6. Curran, P. J. and Atkinson, P. M. (1998) Geostatistics and remote sensing. Progress in Physical Geography, 22, pp. 61-78.
7. Curran, P. J. and Dungan, J. L. (1989) Estimation of signal-to-noise - a new procedure applied to AVIRIS data. IEEE Transactions on Geoscience and Remote Sensing, 27, pp. 620-628.
8. Deutsch, C. V. and Wen, X. H. (1998) An improved perturbation mechanism for simulated annealing simulation. Mathematical Geology, 30, pp. 801-816.
9. Foody, G. M. (1996) Approaches for the production and evaluation of fuzzy land cover classification from remotely sensed data. International Journal of Remote Sensing, 17, pp. 1317-1340.
10. Foody, G. M. (1998) Sharpening fuzzy classification output to refine the representation of sub-pixel land cover distribution. International Journal of Remote Sensing, 19, pp. 2593-2599.
11. Foody, G. M. and Cox, D. P. (1994) Sub-pixel land-cover composition estimation using a linear mixture model and fuzzy membership functions. International Journal of Remote Sensing, 15, pp. 619-631.
12. Foody, G. M. and Jackson, R. G. and Quine, C. P. (2003) Potential improvements in the characterisation of forest canopy gaps caused by windthrow using fine spatial resolution multispectral data: Comparing hard and soft classification techniques. Forest Science, 49, pp. 444-454.
13. Frihy, O. E. and Lotfy, M. F. (1997) Shoreline changes and beach sand sorting along the northern Sinai coast of Egypt. Geo-Marine Letters, 17, pp. 140-146.
14. Gavin, J. and Jennison, C. (1997) A subpixel image restoration algorithm. Journal of Computational and Graphical Statistics, 6, pp. 182-201.
15. Holben, B. N. and Shimabukuru, Y. E. (1993) Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensor. International Journal of Remote Sensing, 14, pp. 2231-2240.
16. Malaysian Meteorological Service,.(2001). In Climate Summary. Kuala Lumpur: Malaysian Meteorological Service.
17. Mckenna, J. and O'Hagan, A. M. and Macleod, M. and Power, J. and Cooper, A. (2003) Obsolete maps and coastal management: Case studies from northwest Ireland. Coastal Management, 31, pp. 229-246.
18. Mertens, K. C. and Verbeke, L. P. C. and Ducheyne, E. I. and De Wulf, R. R. (2003) Using genetic algorithms in sub-pixel mapping. International Journal of Remote Sensing, 24, pp. 4241-4247.
19. Moore, L. J. (2000) Shoreline mapping techniques. Journal of Coastal Research, 16, pp. 111-124.
20. Muslim, A. and Foody, G. M. and Atkinson, P. M.(2003) Sub-pixel analysis in shoreline mapping. In The Annual Conference of the Remote Sensing and Photogrammetry Society: Scales and Dynamics in Observing the Environment. Nottingham: University of Nottingham. University of Nottingham, UK
21. Saw, H. S.(2000) Arah tuju masa depan program dan struktur organisasi bahagian kejuruteraan pantai. In. Persidangan tahunan pengurus kanan JPS Malaysia 2000, Langkawi, Malaysia
22. Stanley Consultants Inc., Moffatt and Nichols Engineers and Jurutera Konsultants (S.E.A) SDN.BHD.,(1985). In National Coastal Erosion Study.
23. Tatem, A. J. and Lewis, H. G. and Atkinson, P. M. and Nixon, M. S. (2001) Super-resolution target identification from remotely sensed images using a Hopfield neural network. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 781-796.
24. Zhang, J. and Foody, G. M. (1998) A fuzzy classification of sub-urban land cover from remotely sensed imagery. International Journal of Remote Sensing, 19, pp. 2721-2738.
25. Zuzek, P. J. and Nairn, R. B. and Thieme, S. J. (2003) Spatial and temporal considerations for calculating shoreline change rates in the Great Lakes Basin. Journal of Coastal Research, 38, pp. 125-146.