Satellite Image Compression Based on Intra-Inter Coding Frame | Raw Satellite Images Compression

Aseel Mohammed (u. a.)

ISBN 10: 6139995264 / ISBN 13: 9786139995264

Published by LAP Lambert Academic Publishing, 2019

About this Item

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.

Seller Inventory # 117049502

Bibliographic Details

• Title: Satellite Image Compression Based on Intra-Inter Coding Frame | Raw Satellite Images Compression
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6139995264
• ISBN 13: 9786139995264
• Binding: Taschenbuch
• Condition: Neu
• Seller catalogs:
  • Bücher

About this title

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.