Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satellite
<p>The successful launch of the first very high resolution (VHR) satellites capable of capturing panchromatic imagery of the land surface with ground sample distance even lower than 1 m (e.g. IKONOS in 1999 or QuickBird in 2001) marked the beginning of a wholly new age in remote sensing. On Ja...
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Universitat Politècnica de València
2014-05-01
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| Series: | Revista de Teledetección |
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| Online Access: | http://polipapers.upv.es/index.php/raet/article/view/2288 |
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| author | M.A. Aguilar M.A. Montalbán M.M. Saldaña F.J. Aguilar I. Fernández A.M. García-Lorca |
| author_facet | M.A. Aguilar M.A. Montalbán M.M. Saldaña F.J. Aguilar I. Fernández A.M. García-Lorca |
| author_sort | M.A. Aguilar |
| collection | DOAJ |
| description | <p>The successful launch of the first very high resolution (VHR) satellites capable of capturing panchromatic imagery of the land surface with ground sample distance even lower than 1 m (e.g. IKONOS in 1999 or QuickBird in 2001) marked the beginning of a wholly new age in remote sensing. On January 4, 2010, images of WorldView-2 were placed on the market. Possibly it is the most sophisticated commercial VHR satellite currently orbiting the Earth and the exploitation of its data poses a challenge to researchers worldwide. Moreover, the practice of under plastic agriculture had a great development in the Mediterranean area during the past 60 years, especially in Almeria, acting as a key economic driver in the area. The goal of this work is the automatic greenhouse mapping by using Object Based Image Analysis (OBIA). The required input data will be a pan-sharpened orthoimage and a normalized digital surface model (nDSM) for objects, both products generated from a WorldView-2 stereo pair. The attained results show that the very high resolution 8-band multispectral and the nDSM data improve the greenhouses automatic detection. In this way, overall accuracies higher than 90% can be achieved.</p> |
| format | Article |
| id | doaj-art-e48a812b8a614cf5a8316aa6bf8d9f65 |
| institution | Kabale University |
| issn | 1133-0953 1988-8740 |
| language | English |
| publishDate | 2014-05-01 |
| publisher | Universitat Politècnica de València |
| record_format | Article |
| series | Revista de Teledetección |
| spelling | doaj-art-e48a812b8a614cf5a8316aa6bf8d9f652025-01-02T03:49:45ZengUniversitat Politècnica de ValènciaRevista de Teledetección1133-09531988-87402014-05-01041192810.4995/raet.2014.22882518Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satelliteM.A. Aguilar0M.A. Montalbán1M.M. Saldaña2F.J. Aguilar3I. Fernández4A.M. García-Lorca5Universidad de AlmeríaUniversidad de AlmeríaUniversidad de AlmeríaUniversidad de AlmeríaUniversidad de AlmeríaUniversidad de Almería<p>The successful launch of the first very high resolution (VHR) satellites capable of capturing panchromatic imagery of the land surface with ground sample distance even lower than 1 m (e.g. IKONOS in 1999 or QuickBird in 2001) marked the beginning of a wholly new age in remote sensing. On January 4, 2010, images of WorldView-2 were placed on the market. Possibly it is the most sophisticated commercial VHR satellite currently orbiting the Earth and the exploitation of its data poses a challenge to researchers worldwide. Moreover, the practice of under plastic agriculture had a great development in the Mediterranean area during the past 60 years, especially in Almeria, acting as a key economic driver in the area. The goal of this work is the automatic greenhouse mapping by using Object Based Image Analysis (OBIA). The required input data will be a pan-sharpened orthoimage and a normalized digital surface model (nDSM) for objects, both products generated from a WorldView-2 stereo pair. The attained results show that the very high resolution 8-band multispectral and the nDSM data improve the greenhouses automatic detection. In this way, overall accuracies higher than 90% can be achieved.</p>http://polipapers.upv.es/index.php/raet/article/view/2288WorldView-2OBIAModelo Digital de SuperficiesModelo Digital de Elevacionesclasificación de invernaderos |
| spellingShingle | M.A. Aguilar M.A. Montalbán M.M. Saldaña F.J. Aguilar I. Fernández A.M. García-Lorca Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satellite Revista de Teledetección WorldView-2 OBIA Modelo Digital de Superficies Modelo Digital de Elevaciones clasificación de invernaderos |
| title | Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satellite |
| title_full | Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satellite |
| title_fullStr | Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satellite |
| title_full_unstemmed | Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satellite |
| title_short | Remote sensing for greenhouse detection from stereo pairs of WorldView-2 satellite |
| title_sort | remote sensing for greenhouse detection from stereo pairs of worldview 2 satellite |
| topic | WorldView-2 OBIA Modelo Digital de Superficies Modelo Digital de Elevaciones clasificación de invernaderos |
| url | http://polipapers.upv.es/index.php/raet/article/view/2288 |
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