TY - GEN
T1 - Fusion of multisource data sets from agricultural areas for improved land cover classification
AU - Waske, Björn
AU - Benediktsson, Jón Atli
AU - Sveinsson, Johannes R.
PY - 2009
Y1 - 2009
N2 - An approach for spectral-spatial classification of multisource remote sensing data from agricultural areas is addressed. Mathematical morphology is used to derive the spatial information from the data sets. The different data sources (i.e., SAR and multispectral) are classified by support vector machines (SVM). Afterwards, the SVM outputs are transferred to probability measurements. These probability values are combined by different fusion strategies, to derive the final classification result. Comparing the results based on mathematical morphology the total accuracy increased by 6% compared to the pure-pixel classification results. Moreover the transfer of the SVM outputs into probability values and the subsequent fusion further increases the classification accuracy, resulting in an accuracy of 78.5%.
AB - An approach for spectral-spatial classification of multisource remote sensing data from agricultural areas is addressed. Mathematical morphology is used to derive the spatial information from the data sets. The different data sources (i.e., SAR and multispectral) are classified by support vector machines (SVM). Afterwards, the SVM outputs are transferred to probability measurements. These probability values are combined by different fusion strategies, to derive the final classification result. Comparing the results based on mathematical morphology the total accuracy increased by 6% compared to the pure-pixel classification results. Moreover the transfer of the SVM outputs into probability values and the subsequent fusion further increases the classification accuracy, resulting in an accuracy of 78.5%.
KW - Data fusion
KW - Land cover classification
KW - Mathematical morphology
KW - Multispectral
KW - SAR
UR - https://www.scopus.com/pages/publications/77951260737
U2 - 10.1109/IGARSS.2009.5417536
DO - 10.1109/IGARSS.2009.5417536
M3 - Conference contribution
SN - 9781424433957
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - IV952-IV955
BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Y2 - 12 July 2009 through 17 July 2009
ER -