@InProceedings{WangHeLiu:2012:NeClMe,
               author = "Wang, Guizhou and He, Guojin and Liu, Jianbo",
                title = "A new classification method for high spatial resolution remote 
                         sensing image based on mapping mechanism",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "186--190",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "High Spatial Resolution, Image Segmentation, Pixel-based 
                         Classification, Object-based Classification, Mapping Mechanism.",
             abstract = "Image classification is a challenging problem of high spatial 
                         resolution remote sensing image. On the basis of analyzing and 
                         summarizing the research actuality of remote sensing image 
                         classification technology, this paper proposed a new object-based 
                         image classification method based on mapping mechanism for high 
                         spatial resolution remote sensing image. The classification 
                         framework used a special mapping strategy to fit in the special 
                         data format and content of high spatial resolution remote sensing 
                         data. First, the multi spectral image was segmented by multi scale 
                         watershed segmentation and at the same time classified by a 
                         traditional pixel-based classification method (maximum 
                         likelihood); then the pixel-based multi spectral classification 
                         result was mapped to the segmentation result by area of dominant 
                         principle to get the object based multi spectral classification 
                         result. In order to make good use of the information in the pan 
                         image, it was also segmented, and the final classification result 
                         was gotten by mapping the object-based multi spectral 
                         classification result to pan image segmentation result. Experiment 
                         results show that the mapping mechanism based classification 
                         algorithm for high spatial resolution remote sensing data can make 
                         use of the information both in pan and multispectral bands, 
                         integrate the pixel-based and object-based classification method, 
                         and finally improve the classification accuracy.",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BT282B",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BT282B",
           targetfile = "055.pdf",
                 type = "Classification",
        urlaccessdate = "02 maio 2024"
}