@InProceedings{GodoyJúniorNovo:1989:TMDaPr,
               author = "Godoy J{\'u}nior, Moacir and Novo, Evlyn M{\'a}rcia Le{\~a}o de 
                         Moraes",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "TM/Landsat data processing for inland water monitoring",
            booktitle = "Proceedings...",
                 year = "1989",
         organization = "Geoscience and Remote Sensing Symposium, IGARSS'89; Canadian 
                         Symposium on Remote Sensing, 12.",
             abstract = "This paper presents results from an experiment performed to assess 
                         the performance of the median recurrent filter for stripping 
                         removal from TM/LANDSAT data. The experiment consisted of 
                         comparing the resulting images in terms of their potential for 
                         water and land use classification. This comparison was perfomed 
                         taking into account two types of remote sensor data user: the user 
                         interested in manual interpretation. As far as the potential for 
                         manual interpretation is concerned, the different images were 
                         compared in terms of the digital filtering effects on the elements 
                         of importance for the information extraction: color, texture, 
                         shape, contrast, etc. The image performance in terms of digital 
                         classification was assessed by comparing the classification matrix 
                         resulting from the application of a maximum likelihood algorithm 
                         to each data set: Reflectance image; reflectance filtering image; 
                         Composite image. The performance of each data set was assessed 
                         through the percent of correct classification produced by the 
                         samples used to train the system. The results indicate that the 
                         filtered image allowed greater separability between 
                         opticallydistinct water classes, presenting however a poor 
                         performance for non-aquatic targets as far as digital analysis was 
                         concerned. For manual analysis, however, the composite image was 
                         the best.",
  conference-location = "Vancouver, CA",
      conference-year = "10-14 July",
             language = "en",
           targetfile = "landsat data processing.pdf",
        urlaccessdate = "19 abr. 2024"
}