Machine Vision and Advanced Image Processing in Remote Sensing: Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension)
Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in...
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Format: | Elektronisch E-Book |
Sprache: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
1999
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Schlagworte: | |
Online-Zugang: | BTU01 URL des Erstveröffentlichers |
Zusammenfassung: | Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes |
Beschreibung: | 1 Online-Ressource (X, 335 p) |
ISBN: | 9783642601057 |
DOI: | 10.1007/978-3-642-60105-7 |
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520 | |a Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes | ||
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author2 | Kanellopoulos, Ioannis 1959- Wilkinson, Graeme G. Moons, Theo |
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discipline | Geographie |
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indexdate | 2024-07-10T08:10:46Z |
institution | BVB |
isbn | 9783642601057 |
language | English |
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spelling | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) edited by Ioannis Kanellopoulos, Graeme G. Wilkinson, Theo Moons Berlin, Heidelberg Springer Berlin Heidelberg 1999 1 Online-Ressource (X, 335 p) txt rdacontent c rdamedia cr rdacarrier Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes Geography Geographical Information Systems/Cartography Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Regional/Spatial Science Earth Sciences, general Earth sciences Image processing Geographical information systems Regional economics Spatial economics Satellitenfernerkundung (DE-588)4224344-0 gnd rswk-swf Satellitenbildauswertung (DE-588)4116326-6 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1998 London gnd-content Satellitenfernerkundung (DE-588)4224344-0 s Maschinelles Sehen (DE-588)4129594-8 s 2\p DE-604 Fernerkundung (DE-588)4016796-3 s Satellitenbildauswertung (DE-588)4116326-6 s 3\p DE-604 Kanellopoulos, Ioannis 1959- (DE-588)120953935 edt Wilkinson, Graeme G. edt Moons, Theo edt Erscheint auch als Druck-Ausgabe 9783642642609 https://doi.org/10.1007/978-3-642-60105-7 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) Geography Geographical Information Systems/Cartography Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Regional/Spatial Science Earth Sciences, general Earth sciences Image processing Geographical information systems Regional economics Spatial economics Satellitenfernerkundung (DE-588)4224344-0 gnd Satellitenbildauswertung (DE-588)4116326-6 gnd Fernerkundung (DE-588)4016796-3 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
subject_GND | (DE-588)4224344-0 (DE-588)4116326-6 (DE-588)4016796-3 (DE-588)4129594-8 (DE-588)1071861417 |
title | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) |
title_auth | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) |
title_exact_search | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) |
title_full | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) edited by Ioannis Kanellopoulos, Graeme G. Wilkinson, Theo Moons |
title_fullStr | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) edited by Ioannis Kanellopoulos, Graeme G. Wilkinson, Theo Moons |
title_full_unstemmed | Machine Vision and Advanced Image Processing in Remote Sensing Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) edited by Ioannis Kanellopoulos, Graeme G. Wilkinson, Theo Moons |
title_short | Machine Vision and Advanced Image Processing in Remote Sensing |
title_sort | machine vision and advanced image processing in remote sensing proceedings of concerted action maviric machine vision in remotely sensed image comprehension |
title_sub | Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) |
topic | Geography Geographical Information Systems/Cartography Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Regional/Spatial Science Earth Sciences, general Earth sciences Image processing Geographical information systems Regional economics Spatial economics Satellitenfernerkundung (DE-588)4224344-0 gnd Satellitenbildauswertung (DE-588)4116326-6 gnd Fernerkundung (DE-588)4016796-3 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
topic_facet | Geography Geographical Information Systems/Cartography Optics, Lasers, Photonics, Optical Devices Image Processing and Computer Vision Regional/Spatial Science Earth Sciences, general Earth sciences Image processing Geographical information systems Regional economics Spatial economics Satellitenfernerkundung Satellitenbildauswertung Fernerkundung Maschinelles Sehen Konferenzschrift 1998 London |
url | https://doi.org/10.1007/978-3-642-60105-7 |
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