Improved BAQ algorithm for Tiangong-2 interferometric imaging radar data compression
| Autor: | Xiaojin Shi, Yunhua Zhang, Xiao Dong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
altimeters
spaceborne radar data compression radar imaging radar interferometry BAQ algorithm Tiangong-2 interferometric imaging radar data compression Tiangong-2 interferometric imaging radar altimeter space-borne radar altimeter high accuracy sea surface height measuring SAR image satellite on-board storage downlink speed data compression algorithm space-borne SAR raw data compression InIRA raw data higher compression ratio sea surface height error Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2019) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.0140 |
| Popis: | Tiangong-2 interferometric imaging radar altimeter (InIRA), the first space-borne radar altimeter in the world, applying a new mechanism of interferometry with short baseline and small incident angle, can achieve wide swath and high accuracy sea surface height measuring. Comparing to traditional altimeter, InIRA can obtain SAR image of observation area, which means InIRA needs higher AD sampling rate. Due to the limitation of satellite on-board storage and downlink speed, in order to extend the working time of InIRA, data compression algorithm for InIRA must be studied. Block adaptive quantisation (BAQ) is an efficient and widely adopted approach for space-borne SAR raw data compression. Based on the characters of InIRA echo waveform, this study discusses compressing InIRA raw data by changing quantisation bits and size of blocks of BAQ algorithm to achieve higher compression ratio and less sea surface height error. |
| Databáze: | Directory of Open Access Journals |
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