International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
The parcel-based classification together with the multi-temporal Lanjeri, S., J. Melia, and D. Segarra, 2001. A multi-temporal
masking technique was found to be quite effective for masking classification method for vineyard monitoring in
establishing the inventory of the summer crops in the selected central Spain, International Journal of Remote Sensing, 22(16),
study area. However, multi-temporal analyses become less pp. 3167-3186.
effective to resolve spectral confusion between classes if one of
the scenes has fewer amounts of classes. Using the multi-
temporal crop masking technique, misclassifications, which
were caused by spectral overlaps was overcome up to à certain
Liu, J. G., 1999. Smoothing Filter-Based Intensity Modulation:
A Spectral Preserve Image Fusion Technique for Improving
Spatial Details, International Journal of Remote Sensing,
extent. 21(18), pp. 3461-3472.
Lunetía; R°S, RG. Congalton, L. K. Fenstermaker, J. R.
Jensen, K. C. McGwire, and L. R. Tinney, 1991. Remote
Sensing and Geographic Information System Data Integration:
Error Sources and Research Issues, Photogrammetric
Engineering & Remote Sensing, 57(6), pp. 677-687.
REFERENCE
Aplin, P., P. M. Atkinson, and P. J. Curran, 1999. Fine Spatial
Resolution Simulated Satellite Sensor Imagery for Land Cover
Mapping in the United Kingdom, Remote Sensing of the
Environment, 68, pp. 206-216. Lillesand, M., and R. W. Kiefer, 1994. Remote Sensing &
Image Interpretation, 3rd edition, John Wiley & Sons, Inc,
Beltran, C. M. and A. C. Belmonte, 2001. Irrigated Crop Area U.S.A, pp. 596-604.
Estimation Using Landsat TM Imagery in La Mancha, Spain,
Photogrammetric Engineering & Remote Sensing, 67(10), pp.
1177-1184.
Mason, D.C; DG. Com, A. Cross, D. C. Hogg, D. H
Lawrence, M. Petrou, and A. M. Tailor, 1988. The Use of
Digital Map Data in the Segmentation and Classification of
. Remotely-Sensed Images, International Journal of Geographic
Cheng, P., T. Toutin| and V. Tom, 2000. Unlocking the
Information Systems, 2(3), pp. 195-215.
potential for Landsat 7 data. Earth Observation Magazine, 9(2),
pp. 28-31. 3
Middelkoop, H., and L. L. F. Janssen, 1991. Implementation of
Temporal Relationships in Knowledge Based Classification of
Satellite Images, Photogrammetric Engineering & Remote
Sensing, 57(7), pp. 937-945.
Ioka, M., and M. Koda, 1986. Performance of Landsat-5 TM
Data in Land-Cover Classification, International Journal of
Remote Sensing, 7(12), pp. 1715-1728.
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Janssen, L. L. F., M. N. Jaarsma, E. T. M. van der Linden, used
1990. Integrating Topographic Data with Remote Sensing for
Land-Cover Classification, Photogrammetric Engineering & 198:
Remote Sensing, 56(11), pp. 1503-1506. Ozes
Johnson, K., 1994, Segment-Based Land-Use Classification Liu
from SPOT Satellite Data, Photogrammetric Engineering & ways
Remote Sensing, 60(1), pp. 47-53. T
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