@InProceedings{SoaresSantKunt:1996:InDaMu,
               author = "Soares, Sergio Monteiro and Sant'Anna, Sidnei Joao Siqueira and 
                         Kuntschik, Gerardo",
                title = "Integracao de dados multiespectrais Landsat-5 TM com imagens SAR 
                         JERS-1, para fins cartograficos",
                 year = "1996",
                pages = "115--123",
         organization = "Latin-American Seminar on Radar Sensing, 1.",
             abstract = "In several brazilian areas, mainly in some rain forest regions, 
                         where have cloud coverage trouble, all year long, the sistematic 
                         mapping is delay in time. In some those areas there aren't any 
                         cartographic document, in sistematic scales (1:500.000, 1:250.000, 
                         1:100.000, 1:50.000 and 1:25.000)be able to represent them 
                         planialtimetricly. Those facts are due mainly by the following 
                         reasons: a)The absent of aerial photographics, because the 
                         wheather conditions, all year long, doesn't permit to take them; 
                         b)By the same reason, the analysis and interpretation of the 
                         satellites images, like LANDSAT-TM or SPOT, can not be performed 
                         for natural and artificial targets identification, on the surface 
                         of the Earth, to possibility the manufacturing the images-charts 
                         inside the visible spectrum; c)The only use of SAR images can not 
                         identify all the targets, cartographicly representable, on a 
                         image-chart, even though such SAR images have no inconvenient of 
                         cloud coverage. The aim of this work is show what the digital 
                         images processing can efficiently do, thru Main Components 
                         proceedings, filtering, IHS Compositions, Resample of SAR data 
                         over TM data and visualization in RGB space to better geometric 
                         identification of targets, be able to build a image chart without 
                         clouds coverage, which one was removed by these digital 
                         operations, if the a specific algorithm was follow, like will be 
                         describe in this paper. In work by Sanabria (1995)before it, make 
                         the data integration with the same purpose using multispectrals 
                         SAR data by ERS-1. In this work, using the analog methodology, 
                         varying the type of data, sequence of procedures, type and 
                         sequence of filtering and incorporating a classification of the 
                         hibrid final product, was used SAR-images, in L band, polarization 
                         HH from JERS-1 Satellite. The choice for JERS-1 SAR-images in L 
                         band, against the SAR-images from ERS-1 in C band, was made by the 
                         higher penetration of the L band inside the canoppy of the rain 
                         forest, permiting the better analysis of the geomorfology of the 
                         ground, in regions where cloud coverage, all year long, doesn't 
                         permit the conventional cartographic methods. The computational 
                         environment was made over the IDL and ENVI softwares, using 
                         graphical workstations, in all digital operations, since colect 
                         data from the tape devices, until creating the plotting files, as 
                         a final product, resulted of mixing TM data with SAR data, in all 
                         graphical formats, be able to build the base for production in 
                         large scale of images-charts, neither TM, nor SAR, but a 
                         composition of these data, removing the clouds effects from the TM 
                         data. These products can be used for paper image-chart or even for 
                         use like a data base for Geographical System Information, in 
                         geoprocessing analysis.",
  conference-location = "Buenos Aires, AR",
      conference-year = "2-4 dec. 1996",
                label = "7880",
         organisation = "CONAE/INPE/ESA/SELPER/CIDA/DI-UFPe",
           targetfile = "1996_soares.pdf",
        urlaccessdate = "2024, May 02"
}