Almost fixed quality rate-allocation under unequal scaling factors for on-board remote-sensing data compression

I. Blanes, M. Albinet, R. Camarero, J. Serra-Sagristà

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

© 2017 Informa UK Limited, trading as Taylor & Francis Group. This article extends a rate-allocation method based on the near-lossless-rate (NLR) complexity that is designed to operate on-board spacecrafts, to include support for distortion scaling factors, such as those that are needed to code multi- and hyperspectral image when a spectral transform is employed. In this article, the conditions to achieve global minimum distortion are derived under the rate-distortion model based on the NLR complexity for the case of varying distortion scaling factors. Practical implementation issues are dealt with, and a rate-allocation method capable of operating under the constraints of on-board operation is provided. An exhaustive experimental validation of the rate-allocation method is performed, reporting modest performances for low rates and close to optimal performances for high rates.
Original languageEnglish
Pages (from-to)1953-1970
JournalInternational Journal of Remote Sensing
Volume39
Issue number7
DOIs
Publication statusPublished - 3 Apr 2018

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