30 October 2009 The study and implementation of extraction HJ1A HSI image data based on A HDF5 files
Author Affiliations +
Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74941L (2009) https://doi.org/10.1117/12.833065
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
HJ1A HSI is an interferometric imaging spectrometer (Hyper-spectral Imager, sensor ID: HSI) of HJ-1 small satellite. The hyper-spectral image data are organized and stored in hierarchical data format version 5 (HDF5) files. This paper presents the data model, file structure, library and programming model of HDF5 file format. The adapter design pattern is used for translating hdf5 interface into a compatible interface. Then, we give a detailed analysis of HJ1A hyper-spectral image data. The HJ1A hyper-spectral image data model includes five groups: 'GlobalAttributes', 'ImageAttributes', 'ImageData', 'MapInformation', and 'ProductParameters'' under the root group. The 'ImageData' group includes three datasets: 'BandData', 'CalibrationCoefficient', and 'WaveLength'. Based on the relationships between the models and implementations, we give a flow chart of extraction HJ1A hyper-spectral image data from hdf5 files. The level2 product of HJ1A hyper-spectral image data is used for experiment. We present the RGB color composite image and 3D cube of the extracted data. Tests show that the data extraction is correct and rapid with this approach. This work provides a solid foundation for quality evaluation and application of HJ1A hyper-spectral image.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuanfeng Wu, Yuanfeng Wu, Bing Zhang, Bing Zhang, Junsheng Li, Junsheng Li, Hao Zhang, Hao Zhang, Qian Shen, Qian Shen, Di Wu, Di Wu, } "The study and implementation of extraction HJ1A HSI image data based on A HDF5 files", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941L (30 October 2009); doi: 10.1117/12.833065; https://doi.org/10.1117/12.833065
PROCEEDINGS
7 PAGES


SHARE
Back to Top