Machine Vision and Advanced Image Processing in Remote Sensing

Name: Machine Vision and Advanced Image Processing in Remote Sensing
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642642609
Price: 423.12 PLN
Availability: InStock

Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension)

Autor: Ioannis Kanellopoulos, Theo Moons, Graeme G. Wilkinson

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostępność: Dostępna u dostawcy

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423.12 zł

Since 1994, the European Commission has undertaken various actions to expand the use of Earth observ...

Informacje o książce

Autor

Ioannis Kanellopoulos, Theo Moons, Graeme G. Wilkinson

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2011

strony

335

EAN

9783642642609

ISBN

3642642608

Enbook ID

07014126

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

534

Wymiary

155 x 235 x 20

Pełny opis

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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Machine Vision and Advanced Image Processing in Remote Sensing

Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension)

Informacje o książce

Pełny opis

Możesz być zainteresowany

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