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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >An Efficient Protocol to Process Landsat Images for Change Detection With Tasselled Cap Transformation
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An Efficient Protocol to Process Landsat Images for Change Detection With Tasselled Cap Transformation

机译：一种有效的协议来处理Landsat图像，以进行Tasselled Cap变换进行变化检测

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摘要

Change detection approaches, such as computing change in spectral indexes through time, are a mature and established science, which is increasingly being applied in operational remote sensing programs. The quality and consistency of the changes detected using these approaches are linked, however, to the processing of the imagery required to address issues related to image radiometry, normalization, and computation of the spectral indexes. These processing steps are typically undertaken independently, providing opportunities for computation errors, increasing disk storage needs, and consuming processing time. In this letter, we present an approach for combining these processing steps to facilitate a more streamlined and computationally efficient approach to change detection using Landsat-5 and -7. The individual elements of the algorithm (raw Landsat-5 or -7, to calibrated Landsat-7, to top-of-atmosphere reflectance, to tasselled cap components) are described, followed by a description and illustration of the protocol to algebraically combine the elements. Rather than producing intermediate outputs, the sequentially integrated data processing protocol operates in memory and produces only the desired outputs. The proposed approach mitigates opportunities for inappropriate scaling between processing steps, the consistency of which is especially important for threshold-based change detection procedures. In addition, savings in both processing time and disk storage are afforded through the combination of processing steps, with processing of the time-1 images reduced from three to two stages and five to two stages for the time-2 images, resulting in savings of 50% and 69% in computing times and disk space requirements, respectively
机译：变化检测方法（例如计算随时间变化的光谱指数）是一门成熟且成熟的科学，正在越来越多地运用于可操作的遥感程序中。但是，使用这些方法检测到的变化的质量和一致性与解决与图像辐射度，归一化和光谱指数计算相关的问题所需的图像处理有关。这些处理步骤通常独立进行，从而为计算错误，增加磁盘存储需求和消耗处理时间提供了机会。在这封信中，我们提出了一种组合这些处理步骤的方法，以促进使用Landsat-5和-7进行更简化且计算效率更高的更改检测方法。描述了算法的各个元素（原始Landsat-5或-7，以校准的Landsat-7，以大气层顶反射率，以t子化的笔帽组件为例），然后描述并举例说明了将算法代数结合的算法元素。顺序产生的数据处理协议不是产生中间输出，而是在内存中运行，仅产生所需的输出。所提出的方法减轻了处理步骤之间不适当缩放的机会，其一致性对于基于阈值的变化检测程序尤其重要。此外，通过组合处理步骤，可以节省处理时间和磁盘存储，时间1映像的处理从三个阶段减少到两个阶段，时间2映像从五个阶段减少到两个阶段，从而节省了时间。计算时间和磁盘空间需求分别为50％和69％

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