Adaptive thematic object extraction from remote sensing image based on spectral matching

International Journal of Applied Earth Observation and Geoinformation

Volumn 19, Issue 1, 2012, Pages 248-251

  Qiaoa, Cheng ^a   Luo, Jiancheng ^a   Shen, Zhanfeng ^a   Zhu, Zhiwen ^a   Ming, Dongping ^b  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^b CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Thematic object extraction Spectral matching Adaptive Remote sensing

Indexed keywords

IMAGE ANALYSIS; MAXIMUM LIKELIHOOD ANALYSIS; REMOTE SENSING; SPECTRAL ANALYSIS;

EID: 84872807968     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.05.012     Document Type: Article

References (12)

1. Boardman, J.W., Kruse, F.A., Green, R.O., 1995. Mapping target signatures via partial unmixing of AVIRIS data. In: Summaries, Fifth JPL Airborne Earth Science Workshop, JPL Publication 95-1, v. 1, pp. 23-26.
2. Delon, J., Desolneux, A., Lisani, J.L., Petro, A.B., 2007. A nonparametric approach for histogram segmentation. IEEE Transactions on Image Processing 16 (1), 253-261.
3. Demir, B., Erturk, S., 2009. Clustering-based extraction of border training patterns for accurate SVM classification of hyperspectral images. IEEE Geoscience and Remote Sensing Letters 6, 840-844.
4. Egozi, A., Keller, Y., Guterman, H., 2010. Improving shape retrieval by spectral matching and meta similarity. IEEE Transactions on Image Processing 19 (5), 1319-1327.
5. Gonzalez, R.C., Woods, R.E., 2002. Digital Image Processing, second edition. Prentice Hall, Upper Saddle River, NJ.
6. James, H., Ramanathan, S., 2005. Classification of Iowa wetlands using an airborne hyperspectral image: a comparison of the spectral angle mapper classifier and an object-oriented approach. Canadian Journal of Remote Sensing 31 (2), 167-174.
7. Kruse, F.A., Lefkoff, A.B., Boardman, J.W., Heidebrecht, K.B., Shapiro, A.T., Barloon, P.J., Goetz, A.F.H., 1993. The spectral image processing system (SIPS)-interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment 44 (2-3), 145-163.
8. Li, J., Narayanan, R.M., 2004. Integrated spectral and spatial information mining in remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing 42 (3), 673-685.
9. Miller, H.J., 2004. Tobler's first law and spatial analysis. Annals of the Association of American Geographers 94 (2), 269-277.
10. Qin, A.K., Clausi, D.A., 2010. Multivariate image segmentation using semantic region growing with adaptive edge penalty. IEEE Transactions on Image Processing 19 (8), 2157-2170.
11. Souza Jr., C.M., Roberts, D.A., Cochrane, M.A., 2005. Combining spectral and spatial information to map canopy damage from selective logging and forest fires. Remote Sensing of Environment 98 (2-3), 329-343.
12. Xue, Y., Cai, G.Y., Guan, Y.N., Cracknell, A.P., Tang, J.K., 2005. Iterative self-consistent approach for Earth surface temperature determination. International Journal of Remote Sensing 26 (1), 185-192.