@InProceedings{FonsecaCost:1997:AuReSa,
               author = "Fonseca, Leila M. G. and Costa, Max H. M.",
                title = "Automatic registration of satellite images",
            booktitle = "Proceedings...",
                 year = "1997",
               editor = "Figueiredo, Luiz Henrique de and Netto, Marcio Lobo",
                pages = "219--226",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 10. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Campos de Jord{\~a}o, SP, Brazil, from 
                         October 13 to 16.",
             keywords = "wavelet transform, image registration, matching, satellite 
                         image.",
             abstract = "Wavelet transform, image registration, matching, satellite 
                         imageWavelet transform, image registration, matching, satellite 
                         imageWavelet transform, image registration, matching, satellite 
                         imageWavelet transform, image registration, matching, satellite 
                         imageWavelet transform, image registration, matching, satellite 
                         imageImage registration is one of the basic image processing 
                         operations in remote sensing. With the increase in the number of 
                         images collected every day from different sensors, automated 
                         registration of multi-sensor/multi-spectral images has become an 
                         important issue. A wide range of registration techniques has been 
                         developed for many different types of applications and data. Given 
                         the diversity of the data, it is unlikely that a single 
                         registration scheme will work satisfactorily for all different 
                         applications. A possible solution is to integrate multiple 
                         registration algorithms into a rule-based artificial intelligence 
                         system, so that appropriate methods for any given set of 
                         multisensor data can be automatically selected. The objective of 
                         this paper is to present an automatic registration algorithm which 
                         has been developed at INPE. It uses a multiresolution analysis 
                         procedure based upon the wavelet transform. The procedure is 
                         completely automatic and relies on the grey level information 
                         content of the images and their local wavelet transform modulus 
                         maxima. The algorithm was tested on SPOT and TM images from 
                         forest, urban and agricultural areas. In all cases we obtained 
                         very encouraging results.",
  conference-location = "Campos de Jord{\~a}o, SP, Brazil",
      conference-year = "Oct. 1997",
             language = "en",
         organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; USP - 
                         Universidade de S{\~a}o Paulo",
                  ibi = "83LX3pFwXQZW44Lb/cFrdN",
                  url = "http://urlib.net/ibi/83LX3pFwXQZW44Lb/cFrdN",
           targetfile = "art13.pdf",
        urlaccessdate = "2024, May 03"
}