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RSS FeedsRemote Sensing, Vol. 11, Pages 1397: Automatic Updating of Land Cover Maps in Rapidly Urbanizing Regions by Relational Knowledge Transferring from GlobeLand30 (Remote Sensing)

 
 

12 june 2019 17:00:09

 
Remote Sensing, Vol. 11, Pages 1397: Automatic Updating of Land Cover Maps in Rapidly Urbanizing Regions by Relational Knowledge Transferring from GlobeLand30 (Remote Sensing)
 




Land-cover map is the basis of research and application related to urban planning, environmental management and ecological protection. Land-cover updating is an essential task especially in a rapidly urbanizing region, where fast development makes it necessary to monitor land-cover change in a timely manner. However, conventional approaches always have the limitations of large amounts of sample collection and exploitation of relational knowledge between multi-modality remote sensing datasets. With some global land-cover products being available, it is important to produce new land-cover maps based on the existing land-cover products and time series images. To this end, a novel transfer learning based automatic approach was proposed for updating land cover maps of rapidly urbanizing regions. In detail, the proposed method is composed of the following three steps. The first is to design a strategy to extract reliable land-cover information from the historical land-cover map for one of the images (source domain). Then, a novel relational knowledge transfer technique is applied to transfer label information. Finally, classifiers are trained on the transferred samples with spatio-spectral features. The experimental results show that aforementioned steps can select sufficient effective samples for target images, and for the main land-cover classes in a rapidly urbanizing region; the results of an updated map show good performance in both precision and vision. Therefore, the proposed approach provides an automatic solution for urban land-cover mapping with a high degree of accuracy.


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13 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 1398: Interaction of Seasonal Sun-Angle and Savanna Phenology Observed and Modelled using MODIS (Remote Sensing)
Remote Sensing, Vol. 11, Pages 1405: Spatial Filtering in DCT Domain-Based Frameworks for Hyperspectral Imagery Classification (Remote Sensing)
 
 
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