@InProceedings{HaertalShimAlme:2003:DeLaCo,
               author = "Haertal, Victor and Shimabukuro, Yosio Edemir and Almeida Filho, 
                         Raimundo",
          affiliation = "Center for Remote Sensing, Fed. University at Rio Grande do Sul, 
                         C.P. 15044, Porto Alegre, RS 91501-970, Brazil",
                title = "On the Detection of Land Cover Change Using Fraction Images",
            booktitle = "Proceedings...",
                 year = "2003",
                pages = "3350--3352",
         organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
            publisher = "IEEE",
              address = "Piscataway",
             keywords = "Algorithms, Image processing, Least squares approximations, Soil 
                         mechanics, Vectors, Fraction images, Land cover, Remote sensing.",
             abstract = "The aim of this study consists in investigating a new methodology 
                         to detect changes in land cover that have occurred over a give 
                         period of time, based o the concept This approach allows the 
                         interpretation of remote sensing digital image data at sub-pixel 
                         level. It is expected that this feature will create the right 
                         conditions for a more accurate identification of changes in 
                         land-cover as compared with the results obtained directly from 
                         multispectral image data. The Mixture Models allow the fraction 
                         images, which convey the in formation regarding the proportion of 
                         each component class within any pixel. By subtracting fraction 
                         images associated with the same component at two different dates, 
                         fraction-change As the magnitude of the changes may be either 
                         positive or negative, each component will originate two fraction 
                         -images e displaying positive changes in the magnitude of 
                         component 's proportion and the other the negative changes. 
                         Therefore 2m fraction- change images will be generated being the 
                         number of component classes. The proposed methodology to detect 
                         land-cover changes is then performed by analyzing the 
                         fraction-change image data in this 2m -dimensional space.",
  conference-location = "Toulouse, France",
      conference-year = "21-25 July 2003",
           copyholder = "SID/SCD",
            isbn/issn = "0-7803-7929",
             language = "en",
         organisation = "IEEE",
               volume = "5",
        urlaccessdate = "14 maio 2024"
}