TY - GEN
T1 - Subpixel change detection based on abundance and slope features
AU - Hsieh, Chia Chin
AU - Hsieh, Pi Fuei
AU - Lin, Ching Weei
PY - 2006
Y1 - 2006
N2 - Most of change detection algorithms for multi-temporal images are performed in unit of pixels. Due to the limit of spatial resolution, a pixel is, in many cases, a mixed pixel that contains more than one ground cover types. In order to explore more information from images, we have reviewed several spectral unmixing algorithms and used them to accomplish subpixel change detection. In an application of landslide monitoring, we demonstrated the use of subpixel change detection for detection of landslide spreading. We used spectral unmixing algorithms to extract the abundance information from multispectral images. For the particular characteristic of landslides, we incorporated the slope feature into process. Our preliminary result shows that the subpixel change detection method can provide more detailed information about landslide spread than pixel-based change detection algorithms.
AB - Most of change detection algorithms for multi-temporal images are performed in unit of pixels. Due to the limit of spatial resolution, a pixel is, in many cases, a mixed pixel that contains more than one ground cover types. In order to explore more information from images, we have reviewed several spectral unmixing algorithms and used them to accomplish subpixel change detection. In an application of landslide monitoring, we demonstrated the use of subpixel change detection for detection of landslide spreading. We used spectral unmixing algorithms to extract the abundance information from multispectral images. For the particular characteristic of landslides, we incorporated the slope feature into process. Our preliminary result shows that the subpixel change detection method can provide more detailed information about landslide spread than pixel-based change detection algorithms.
UR - http://www.scopus.com/inward/record.url?scp=34948864849&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2006.199
DO - 10.1109/IGARSS.2006.199
M3 - Conference contribution
AN - SCOPUS:34948864849
SN - 0780395107
SN - 9780780395107
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 766
EP - 769
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Y2 - 31 July 2006 through 4 August 2006
ER -