This paper presents a supervised polarimetric synthetic aperture radar(PolSAR)change detection method applied to specific land cover types.For each pixel of a PolSAR image,its target scattering vector can be modeled a...This paper presents a supervised polarimetric synthetic aperture radar(PolSAR)change detection method applied to specific land cover types.For each pixel of a PolSAR image,its target scattering vector can be modeled as having a complex multivariate normal distribution.Based on this assumption,the joint distribution of two corresponding vectors in a pair of PolSAR images is derived.Then,a generalized likelihood ratio test statistic for the equality of two likelihood functions of such joint distribution is considered and a maximum likelihood distance measure for specific land cover types is presented.Subsequently,the Kittler and Illingworth minimum error threshold segmenta-tion method is applied to extract the specific changed areas.Experiments on two repeat-pass Radarsat-2 fully polarimetric images of Suzhou,China,demonstrate that the proposed change detection method gives a good performance in determining the specific changed areas in PolSAR images,especially the areas that have changed to water.展开更多
The Earth surface is constantly moving and changing under the influence of internal and external dynamic geological processes and human activities.On a time scale,such changes may occur within a few seconds,such as ea...The Earth surface is constantly moving and changing under the influence of internal and external dynamic geological processes and human activities.On a time scale,such changes may occur within a few seconds,such as earthquakes and landslides,or last for several years or even longer,such as fault creep and frozen soil degradation.On a spatial scale,such changes may manifest as local surface collapses or regional surface subsidence.展开更多
基金This work was supported in part by the National High-Tech Research and Development Program of China under grant number[2011AA120404]in part by the National Natural Science Foundation of China under grant numbers[4133176]and[41371352].
文摘This paper presents a supervised polarimetric synthetic aperture radar(PolSAR)change detection method applied to specific land cover types.For each pixel of a PolSAR image,its target scattering vector can be modeled as having a complex multivariate normal distribution.Based on this assumption,the joint distribution of two corresponding vectors in a pair of PolSAR images is derived.Then,a generalized likelihood ratio test statistic for the equality of two likelihood functions of such joint distribution is considered and a maximum likelihood distance measure for specific land cover types is presented.Subsequently,the Kittler and Illingworth minimum error threshold segmenta-tion method is applied to extract the specific changed areas.Experiments on two repeat-pass Radarsat-2 fully polarimetric images of Suzhou,China,demonstrate that the proposed change detection method gives a good performance in determining the specific changed areas in PolSAR images,especially the areas that have changed to water.
基金supported by the National Natural Science Foundation of China (41930110)the Strategic Priority Research Program of Chinese Academy of Sciences (XDA19090126)。
文摘The Earth surface is constantly moving and changing under the influence of internal and external dynamic geological processes and human activities.On a time scale,such changes may occur within a few seconds,such as earthquakes and landslides,or last for several years or even longer,such as fault creep and frozen soil degradation.On a spatial scale,such changes may manifest as local surface collapses or regional surface subsidence.
