TY - GEN
T1 - A neural network-based technique for change detection of linear features and its application to a Mediterranean region
AU - Feldberg, I
AU - Netanyahu, N. S.
AU - Shoshany, M.
N1 - Place of conference:Toronto, Canada
PY - 2002
Y1 - 2002
N2 - An artificial neural network (ANN) for change detection from multi-temporal satellite images, which was reported in I. Feldberg (2001), has been further developed and tested, as part of a study of an area of high spatio-temporal heterogeneity along a climatic gradient between humid and and climate regions. Four recognition classes, "positive change", "negative change", "false change", and "no change" were learned by a backpropagation feedforward ANN and then applied to Landsat images that were acquired over the study area in 1992 and 1997. A comparison with existing classification techniques indicates, in many instances, significantly improved performance due to the ANN developed.
AB - An artificial neural network (ANN) for change detection from multi-temporal satellite images, which was reported in I. Feldberg (2001), has been further developed and tested, as part of a study of an area of high spatio-temporal heterogeneity along a climatic gradient between humid and and climate regions. Four recognition classes, "positive change", "negative change", "false change", and "no change" were learned by a backpropagation feedforward ANN and then applied to Landsat images that were acquired over the study area in 1992 and 1997. A comparison with existing classification techniques indicates, in many instances, significantly improved performance due to the ANN developed.
UR - https://scholar.google.co.il/scholar?q=A+Neural+Network-Based+Technique+for+Change+Detection+of+Linear+Features+and+Its+Application+to+a+Mediterranean+Region&btnG=&hl=en&as_sdt=0%2C5
M3 - Conference contribution
BT - Geoscience and Remote Sensing Symposium, 2002. IGARSS'02. 2002 IEEE International
PB - IEEE
ER -