Feature extraction for darfur: Geospatial applications in the documentation of human rights abuses

International Journal of Remote Sensing

Volumn 31, Issue 10, 2010, Pages 2521-2533

  Sulik, John J ^a   Edwards, Scott ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b AMNESTY INTERNATIONAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85009545344     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161003698369     Document Type: Article

References (26)

1. BJORGO, E., 2000, Using very high spatial resolution multispectral satellite sensor imagery to monitor refugee camps. International Journal of Remote Sensing, 21, pp. 611-616.
2. AMERICAN ASSOCIATION FOR THE ADVANCEMENT OF SCIENCE, 2009, High-resolution satellite imagery and the conflict in Chad and Sudan. Available online at: http://shr.aaas.org/geotech/darfur/darfur.shtml (accessed 10 January 2009).
3. BROWN, V., JACQUIER, G., COULOMBIER, D., BALANDINE, S., BELANGER, F. and LEGROS, D., 2001, Rapid assessment of population size by area sampling in disaster situations. Disasters, 25, pp. 164-171.
4. CONGALTON, R.G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, pp. 35-46.
5. DE LAET, V., PAULISSEN, E. and WAELKENS, M., 2007, Methods for the extraction of archaeological features from very high-resolution Ikonos-2 remote sensing imagery, Hisar (southwest Turkey). Journal of Archaeological Science, 34, pp. 830-841.
6. DESTIVAL, I., 1986, Mathematical morphology applied to remote sensing. Acta Astronautica, 13, pp. 371-385.
7. DIGITALGLOBE, 2009, Quickbird Imagery Products Guide (Longmont, CO: DigitalGlobe).
8. FOODY, G.M. and MATHUR, A., 2004, Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification. Remote Sensing of Environment, 93, pp. 107-117.
9. GIADA, S., DE GROEVE, T., EHRLICH, D. and SOILLE, P., 2003, Information extraction from very high resolution satellite imagery over Lukole refugee camp, Tanzania. International Journal of Remote Sensing, 24, pp. 4251-4266.
10. GLASBEY, C.A., HORGAN, G.W. and DARBYSHIRE, J.F., 1991, Image analysis and 3-dimensional modeling of pores in soil aggregates. Journal of Soil Science, 42, pp. 479-486.
11. HARALICK, R.M., STERNBERG, S.R. and ZHUANG, X.H., 1987, Image analysis using mathematical morphology. IEEE Transactions On Pattern Analysis And Machine Intelligence, 9, pp. 532-550.
12. JENSEN, J.R., 2007, Remote Sensing of the Environment: An Earth Resource Perspective, 2nd edn (Upper Saddle River, NJ: Prentice Hall).
13. LALIBERTE, A.S. and RIPPLE, W.J., 2003, Automated wildlife counts from remotely sensed imagery. Wildlife Society Bulletin, 31, pp. 362-371.
14. LO, C.P., 1995, Automated population and dwelling unit estimation from high-resolution satellite images-a GIS approach. International Journal of Remote Sensing, 16, pp. 17-34.
15. MASON, S.O. and FRASER, C.S., 1998, Image sources for informal settlement management. Photogrammetric Record, 16, pp. 313-330.
16. MATHER, P.M., 2004, Computer Processing of Remotely Sensed Images: An Introduction, 4th edn (Chichester, UK: Wiley).
17. MELGANI, F. and BRUZZONE, L., 2004, Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing, 42, pp. 1778-1790.
18. PRINS, E., 2008, Use of low cost Landsat ETM to spot burnt villages in Darfur, Sudan. International Journal of Remote Sensing, 29, pp. 1207-1214.
19. REUTERS-ALERTNET, 2007, Sudan's Bashir defends record in Darfur. Available online at: http://www.alertnet.org/thenews/newsdesk/L24114026.htm (accessed 23 February 2009).
20. RUTHER, H., MARTINE, H.M. and MTALO, E.G., 2002, Application of snakes and dynamic programming optimisation technique in modeling of buildings in informal settlement areas. ISPRS Journal of Photogrammetry and Remote Sensing, 56, pp. 269-282.
21. SERRA, J. and VINCENT, L., 1992, An overview of morphological filtering. Circuits Systems and Signal Processing, 11, pp. 47-108.
22. SHI, W.Z. and ZHU, C.Q., 2002, The line segment match method for extracting road network from high-resolution satellite images. IEEE Transactions on Geoscience and Remote Sensing, 40, pp. 511-514.
23. SOILLE, P., 2003, Morphological Image Analysis: Principles and Applications (Berlin, Germany: Springer-Verlag).
24. SOILLE, P. and PESARESI, M., 2002, Advances in mathematical morphology applied to geoscience and remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 40, pp. 2042-2055.
25. STERNBERG, S.R., 1986, Grayscale morphology. Computer Vision Graphics and Image Processing, 35, pp. 333-355.
26. ZHU, C., SHI, W., PESARESI, M., LIU, L., CHEN, X. and KING, B., 2005, The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics. International Journal of Remote Sensing, 26, pp. 5493-5508.