Geography Reference
In-Depth Information
season and have a regular seasonal temporal pattern. Therefore, multi-temporal
PolSAR images should have a potential application in distinguishing between
changes caused by human activities which are irregular and those caused by paddy
growth and cultivation which have a regular seasonal temporal pattern.
References
Baatz, M., Benz, U., Dehghani, S., Heynen, M., Höltje, A., Hofmann, P., et al. (2004). eCognition
professional user guide 4 . Munich: Definiens Imaging.
Barnes, C. F., & Burki, J. (2006). Late-season rural land-cover estimation with polarimetric-SAR
intensity pixel blocks and sigma-tree-structured near-neighbor classifiers. IEEE Transactions
on Geoscience and Remote Sensing, 44 (9), 2384-2392.
Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I., & Heynen, M. (2004). Multi-resolution,
object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS
Journal of Photogrammetry and Remote Sensing, 58 (3), 239-258.
Bovolo, F., & Bruzzone, L. (2007). A theoretical framework for unsupervised change detection
based on change vector analysis in the polar domain. IEEE Transactions on Geoscience and
Remote Sensing, 45 (6), 218-236.
Camps-Valls, G., Gomez-Chova, L., Munoz-Mari, J., Rojo-Alvarez, J. L., & Martinez-Ramon,
M. (2008). Kernel-based framework for multitemporal and multisource remote sensing data
classification and change detection. IEEE Transactions on Geoscience and Remote Sensing,
46 (6), 1822-1835.
Chen, K. S., Huang, W. P., Tsay, D. H., & Amar, F. (1996). Classification of multifrequency
polarimetric SAR imagery using a dynamic learning neural network. IEEE Transactions on
Geoscience and Remote Sensing, 34 (3), 814-820.
Collins, J. B., & Woodcock, C. E. (1996). An assessment of several linear change detection
techniques for mapping forest mortality using multitemporal Landsat TM data. Remote Sensing
of Environment, 56 (1), 66-77.
Congalton, R., & Green, K. (2009). Assessing the accuracy of remotely sensed data: Principles
and practices . Boca Raton: CRC Press.
Coppin, P. R., & Bauer, M. E. (1994). Processing of multitemporal Landsat TM imagery to
optimize extraction of forest cover change features. IEEE Transactions on Geoscience and
Remote Sensing, 32 (4), 918-927.
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., & Lambin, E. (2004). Digital change detection
methods in ecosystem monitoring: A review. International Journal of Remote Sensing, 25 (9),
1565-1596.
Du, L., & Lee, J. S. (1996). Fuzzy classification of earth terrain covers using complex polarimetric
SAR data. International Journal of Remote Sensing, 17 (4), 809-826.
Foody, G. M. (2001). Monitoring the magnitude of land-cover change around the southern limits
of the Sahara. Photogrammetric Engineering and Remote Sensing, 67 (7), 841-847.
Forster, M., Frick, A., Walentowski, H., & Kleinschmit, B. (2008). Approaches to utilising
QuickBird data for the monitoring of NATURA 2000 habitats. Community Ecology, 9 (2),
155-168.
Freitas, C. D., Soler, L. D., Anna, S. J. S. S., Dutra, L. V., dos Santos, J. R., Mura, J. C., & Correia,
A. H. (2008). Land use and land cover mapping in the Brazilian Amazon using polarimetric
airborne p-band SAR data. IEEE Transactions on Geoscience and Remote Sensing, 46 (10),
2956-2970.
Fung, T. (1990). An assessment of TM imagery for land-cover change detection. IEEE Transac-
tions on Geoscience and Remote Sensing, 28 (4), 681-684.
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