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.
Search WWH ::
Custom Search