{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:38:20Z","timestamp":1760243900043,"version":"build-2065373602"},"reference-count":18,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2010,5,18]],"date-time":"2010-05-18T00:00:00Z","timestamp":1274140800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s100504996","type":"journal-article","created":{"date-parts":[[2010,5,18]],"date-time":"2010-05-18T11:03:43Z","timestamp":1274180623000},"page":"4996-5013","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Diffused Matrix Format: A New Storage and Processing Format for Airborne Hyperspectral Sensor Images"],"prefix":"10.3390","volume":"10","author":[{"given":"Pablo","family":"Mart\u00ednez","sequence":"first","affiliation":[{"name":"Escuela Polit\u00e9cnica de C\u00e1ceres, Universidad de Extremadura, Avda. Universidad s\/n, 10071, C\u00e1ceres, Spain"}]},{"given":"Alejandro","family":"Cristo","sequence":"additional","affiliation":[{"name":"Escuela Polit\u00e9cnica de C\u00e1ceres, Universidad de Extremadura, Avda. Universidad s\/n, 10071, C\u00e1ceres, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6186-1619","authenticated-orcid":false,"given":"Magaly","family":"Koch","sequence":"additional","affiliation":[{"name":"Center for Remote Sensing, Boston University, 725 Commonwealth Avenue, Boston, MA, USA"}]},{"given":"Rosa M\u00aa.","family":"P\u00e9rez","sequence":"additional","affiliation":[{"name":"Escuela Polit\u00e9cnica de C\u00e1ceres, Universidad de Extremadura, Avda. Universidad s\/n, 10071, C\u00e1ceres, Spain"}]},{"given":"Thomas","family":"Schmid","sequence":"additional","affiliation":[{"name":"CIEMAT, Avda. Complutense 22, 28040, Madrid, Spain"}]},{"given":"Luz M.","family":"Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Escuela Polit\u00e9cnica de C\u00e1ceres, Universidad de Extremadura, Avda. Universidad s\/n, 10071, C\u00e1ceres, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2010,5,18]]},"reference":[{"key":"ref_1","unstructured":"Barkstrom, B.R., and Folk, M. (2003, January May). Attributes of file formats for long-term preservation of scientific and engineering data in digital libraries. Houston, TX, USA."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0031-3203(02)00065-1","article-title":"Real time linear discriminant analysis to target detection and classification in hyperspectral imagery","volume":"36","author":"Du","year":"2003","journal-title":"Patt. Recog"},{"key":"ref_3","unstructured":"Mart\u00ednez, P.J., Hermosel, D., Green, R.O., Plaza, J., and P\u00e9rez, R.M. (2006, January May). An improved data structure for AVIRIS-type imaging spectrometer measurements. Pasadena, CA, USA."},{"key":"ref_4","unstructured":"Mather, P.M. (2004). Computer processing of remotely sensed images, Wiley and Sons Ltd.. 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Available online: http:\/\/www.hdfgroup.org\/ (accessed on April 30, 2010)."},{"key":"ref_12","unstructured":"National Center for Supercomputing Applications HDF5 for HDF4 users: a short guide."},{"key":"ref_13","unstructured":"Chaves, J.M., Vega, M.A., Mart\u00ednez, P.J., S\u00e1nchez, J.M., and G\u00f3mez, J.A. (2007). DIFFUSE MATRIX: An Optimized Data Structure for the Storage and Processing of Hyperspectral Images, INSTICC."},{"key":"ref_14","unstructured":"Cristo, A., Mart\u00ednez, P.J., Valencia, D., Hern\u00e1ndez, L.M., P\u00e9rez, R.M., Plaza, A., Plaza, J., and Aguilar, P.L. (2009, January March). An\u00e1lisis del funcionamiento de la Matriz Difusa para el tratamiento de im\u00e1genes hiperespectrales. Barcelona, Espa\u00f1a."},{"key":"ref_15","unstructured":"Mart\u00ednez, P.J., Plaza, A., and Atkinson, A. (2003, January March). Generation of a test image to validate the performance of endmember extraction and hyperspectral unmixing algorithms. Oberpfaffenhofen, Germany."},{"key":"ref_16","unstructured":"ROSIS official site. Available online: http:\/\/www.opairs.aero\/rosis_en.html (accessed on April 30, 2010)."},{"key":"ref_17","unstructured":"Mart\u00ednez, P.J., Paza, J., Cantero, C., P\u00e9rez, R., Atkinson, A., and Ballet, J. (2003, January May). Test image to validate the performance of endmember extraction and hyperspectral unmixing algorithms. Heersching, Germany."},{"key":"ref_18","first-page":"2025","article-title":"Spatial-spectral endmember extraction by multidimensional morphological operations","volume":"40","author":"Plaza","year":"2002","journal-title":"IEEE TGARS"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/5\/4996\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:02:28Z","timestamp":1760220148000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/5\/4996"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,5,18]]},"references-count":18,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2010,5]]}},"alternative-id":["s100504996"],"URL":"https:\/\/doi.org\/10.3390\/s100504996","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2010,5,18]]}}}