一种用于空间任务多通道图像采集的高效图像缓冲和平铺算法

Naveed Ahmed, A. Khan
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引用次数: 3

摘要

大多数现代成像卫星都需要获得高像素分辨率和大条带宽度的图像。这两个参数与多个传感器流的使用相结合,往往会增加必须传输到地面的数据量。另一方面,大多数图像压缩算法需要小块形式的图像数据。这些要求要求一种有效的图像缓冲和平铺算法,该算法可以适应高输入数据速率,根据压缩要求执行图像平铺,并保持数据的连续性。提出了一种用于成像卫星图像采集单元的图像缓冲和平铺机制。本设计实现了高数据吞吐量,因此能够从多个传感器通道获取高分辨率图像,同时防止数据丢失。该设计已在基于现场可编程门阵列(FPGA)的高速处理单元上实现,该单元与外部存储器接口,作为FIFO缓冲区,用于以线性形式写入图像数据并以平铺形式读取图像数据。平铺大小是运行时可自定义的参数。分析了图像分辨率、地面采样距离、通道数等不同参数对设计性能的影响。该设计能够从多个传感器通道获取高分辨率图像数据,同时平铺数据而不会丢失数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient image buffering and tiling algorithm for multiple channel image acquisition for space missions
Most modern imaging satellites are required to acquire images that are of high pixel resolution as well as a large swath width. These two parameters combined with usage of multiple sensor streams tend to increase the volume of data that must be transmitted to the ground. On the other hand most image compression algorithms require image data in form of small tiles. These requirements call for an efficient image buffering and tiling algorithm that can accommodate high input data rates, perform image tiling according to the requirement of compression, and preserve data continuity. This paper presents a new image buffering and tiling mechanism for image acquisition unit of imaging satellites. The presented design achieves high data throughput and is therefore capable of acquiring high resolution images from multiple sensor channels, while preventing data loss. The design has been implemented on a high speed processing unit based on field programmable gate array (FPGA) which interfaces with an external memory which is used as a FIFO buffer for writing image data in linear form and reading out in tiled form. The tile size is a run-time customizable parameter. Analysis has been performed for the effect of different parameters including image resolution in terms of ground sampling distance, and number of channels on the design performance. The design is capable of acquiring high resolution image data from multiple sensor channels while tiling out the data without data loss.
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