基于快照马赛克面阵高光谱图像的FPGA预测压缩
The FPGA Prediction Compression Based on Snapshot Mosaic Area Array Hyperspectral Image
DOI: 10.12677/IaE.2020.81003, PDF,    国家自然科学基金支持
作者: 金绍勋, 吕德远, 黄浩文, 赵志刚*：深圳技术大学新材料与新能源学院，广东 深圳；深圳大学物理与光电工程学院光电子器件与系统教育部广东省重点实验室，广东 深圳；黄继小, 付 存, 刘文擎, 屈军乐：深圳大学物理与光电工程学院光电子器件与系统教育部广东省重点实验室，广东 深圳
关键词: 微型高光谱仪；快照马赛克面阵高光谱传感器；FPGA预测压缩；Zynq平台；Micro-Hyperspectrometer； Snapshot Mosaic Area Array Hyperspectral Sensor； The FPGA Predictive Compression； Zynq Platform
摘要: 高光谱图像数据量庞大，难以实现实时无线传输，严重制约了高光谱图像数据传输处理的实时性。本文自主研制Zynq平台微型高光谱仪，对快照马赛克面阵高光谱传感器采集到的特定高光谱图像数据进行无损预测压缩，并用FPGA实现。其压缩比为1.7至2之间，增加了高光谱图像数据无线传输的能力，扩展了微型高光谱仪的应用范围。
Abstract: The huge amount of hyperspectral image data makes it difficult to realize real-time wireless transmission of hyperspectral image data. And it will seriously restrict the real-time nature of the hyperspectral image data transmission processing. This article independently develops a Zynq platform Micro-hyperspectrometer. Collecting the specific hyperspectral image data through the snapshot mosaic area array hyperspectral sensor, we can predict and cdcompress the data which is subjected to FPGA. Its compression ratio is between 1.7 and 2, which increases the ability of wireless transmission of hyperspectral image data. And it can greatly expand the application range of the micro-hyperspectrometer.
文章引用：金绍勋, 吕德远, 黄浩文, 赵志刚, 黄继小, 付存, 刘文擎, 屈军乐. 基于快照马赛克面阵高光谱图像的FPGA预测压缩[J]. 仪器与设备, 2020, 8(1): 21-29. https://doi.org/10.12677/IaE.2020.81003

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