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.
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohammed AseelAseel Mohammed Mahdi, Programmer Chief Assistant,Master Degree of Computer Science, Baghdad University, 2018.The huge size of the satellite images data leads to big problems in storage capacity and power exhaustion . Codice articolo 385880657
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 152 pages. 8.78x5.98x0.51 inches. In Stock. Codice articolo __6139995264
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 152 pages. 8.78x5.98x0.51 inches. In Stock. Codice articolo zk6139995264
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Satellite Image Compression Based on Intra-Inter Coding Frame | Raw Satellite Images Compression | Aseel Mohammed (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9786139995264 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 117049502
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9786139995264
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Da: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Codice articolo 35168927/1
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