author = "Khoiriah, Isti Fadatul and Danoedoro, Projo and Farda, Nur 
                title = "Land use classification accuracies comparison based on ASTER/VNIR 
                         data and ASTER/VNIR-PALSAR image fusion",
            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 = "84--88",
         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 = "Remote Sensing Imagery, Image Fusion, Multi sensor, Multi 
                         resolution, Discrete Wavelet Transform.",
             abstract = "Nowadays, the abundance of remote sensing data requires 
                         synergistic development of methods for information extraction, in 
                         order to maximize the potential uses for various mapping purposes. 
                         Image fusion techniques are an alternative to the conventional 
                         uses of individual remote sensing data, because these methods can 
                         create new data that combine advantages from the input images in 
                         one hand, and minimize their weaknesses. This study tried to 
                         compare the quality of fused image, which was built using ASTER 
                         VNIR (optical) and ALOS PALSAR (radar) images, and the original 
                         multispectral ASTER VNIR bands. The quality was assessed visually 
                         and then was evaluated spectrally with respect to their ability to 
                         generate land-use classes based on multispectral classification. A 
                         Discrete Wavelet Transform (DWT) was used to combine the optical 
                         and radar images, since it can maintain the spectral quality of 
                         the combined image. It was found that for a cloud free area like 
                         Yogyakarta, Indonesia, there was no significant difference in 
                         classification accuracy between the fused and the original 
                         (optical) images.",
  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/3BSR5PP",
                  url = "http://urlib.net/rep/8JMKD3MGP8W/3BSR5PP",
           targetfile = "026.pdf",
                 type = "Accuracy Assessment",
        urlaccessdate = "25 jan. 2021"