Satellite Image Compression Based on Intra-Inter Coding Frame: Raw Satellite Images Compression - Couverture souple

Mohammed, Aseel; George, Loay E.; Ghazi, Faisel

Couverture souple

ISBN 10 : 6139995264 ISBN 13 : 9786139995264

Editeur : LAP LAMBERT Academic Publishing, 2019

Synopsis

The huge size of the satellite images data leads to big problems in storage capacity and power exhaustion for the transmission. To overcome these issues we have proposed satellite image compression method based on inter-intra frame coding, to compress sequence of satellite images captured at different times, form different sensors, or /and different view points for the same area. Inter-frame coding principle based on removing temporal redundancy exists between two successive satellite images: a historical captured image (reference image) and a new captured image (sensed image) for the same scene. Since sequential satellite images contain almost same materials with only minor movements according to the time interval between them (several days, several months). The resulting difference’s image after subtraction has much lower entropy and can be compressed with much less cost than the original sensed satellite image. This is followed by removing still existing redundancy of pixels within resulting difference’s image using principle intra-frame coding to satisfy high compression performance while keeping the quality of the compressed satellite image as much as possible.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 6139995264
• ISBN 13: 9786139995264
• Reliure: Broché
• Nombre de pages: 152
• Coordonnées du fabricant: non disponible
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