20
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Diffused Matrix Format: A New Storage and Processing Format for Airborne Hyperspectral Sensor Images

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          At present, hyperspectral images are mainly obtained with airborne sensors that are subject to turbulences while the spectrometer is acquiring the data. Therefore, geometric corrections are required to produce spatially correct images for visual interpretation and change detection analysis. This paper analyzes the data acquisition process of airborne sensors. The main objective is to propose a new data format called Diffused Matrix Format (DMF) adapted to the sensor's characteristics including its spectral and spatial information. The second objective is to compare the accuracy of the quantitative maps derived by using the DMF data structure with those obtained from raster images based on traditional data structures. Results show that DMF processing is more accurate and straightforward than conventional image processing of remotely sensed data with the advantage that the DMF file structure requires less storage space than other data formats. In addition the data processing time does not increase when DMF is used.

          Related collections

          Most cited references19

          • Record: found
          • Abstract: not found
          • Book: not found

          Computer Processing of Remotely-Sensed Images

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Spatial-spectral endmember extraction by multidimensional morphological operations

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              DIFFUSE MATRIX: An Optimized Data Structure for the Storage and Processing of Hyperspectral Images

                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                2010
                18 May 2010
                : 10
                : 5
                : 4996-5013
                Affiliations
                [1 ] Escuela Politécnica de Cáceres, Universidad de Extremadura, Avda. Universidad s/n, 10071, Cáceres, Spain; E-Mails: acristo@ 123456unex.es (A.C.); rosapere@ 123456unex.es (R.P.); luzhder@ 123456unex.es (L.H.)
                [2 ] Center for Remote Sensing, Boston University, 725 Commonwealth Avenue, Boston, MA, USA; E-Mail: mkoch@ 123456bu.edu
                [3 ] CIEMAT, Avda. Complutense 22, 28040, Madrid, Spain; E-Mail: thomas.schmid@ 123456ciemat.es
                Author notes
                [* ] Author to whom correspondence should be addressed; E-Mail: pablomar@ 123456unex.es ; Tel: +34-927-251-661; Fax: +34-927-257-187.
                Article
                sensors-10-04996
                10.3390/s100504996
                3292159
                22399919
                7b3507f2-540b-431c-95b3-e98b3175a93c
                © 2010 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 12 March 2010
                : 27 April 2010
                : 6 May 2010
                Categories
                Article

                Biomedical engineering
                remote sensing data format,hyperspectral images,linear spectral unmixing

                Comments

                Comment on this article