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Impact of lossy compression on mapping crop areas from remote sensing

机译:有损压缩对遥感测绘作物面积的影响

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摘要

This study measures the effect of lossy image compression (JPEG 2000 and JPG) on the digital classification of crop areas. The results provide new insights into the influence of compression on the quality of the cartography produced. Both a multitemporal and a single-date classification approach were analysed. With the multitemporal approach, it is possible to use high compression ratios (CRs), up to 20:1 or even 100:1, and the overall accuracy of the classification is similar to that obtained with the original images. Moreover, the classified area is similar or even greater (fewer pixels are uncertain). For a single-date approach, it is only advisable to use 3D-JPEG 2000 at CRs up to 20:1. The optimum CR is also affected by landscape fragmentation (fragmented images tolerate less compression) and the classification method (hybrid classifiers are affected less than the maximum likelihood and minimum distance classifiers). Finally, classifications from compressed images have less 'salt and pepper' effect than those obtained from the originals, especially when JPEG 2000 (3D or not) is used.
机译:这项研究测量了有损图像压缩(JPEG 2000和JPG)对作物面积数字分类的影响。结果为压缩对制图质量的影响提供了新的见解。分析了多时间分类方法和单日期分类方法。通过多时间方法,可以使用高达20:1甚至100:1的高压缩比(CR),并且分类的总体准确性与原始图像获得的相似。此外,分类区域相似甚至更大(更少的像素不确定)。对于单日方法,建议仅在CR高达20:1的情况下使用3D-JPEG 2000。最佳CR还受景观碎片(碎片图像容忍较少压缩)和分类方法(混合分类器的影响小于最大似然和最小距离分类器)的影响。最后,与从原始图像获得的分类相比,来自压缩图像的分类具有更少的“盐和胡椒”效果,尤其是在使用JPEG 2000(是否使用3D)的情况下。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第8期|2796-2813|共18页
  • 作者

    Alaitz Zabala; Xavier Pons;

  • 作者单位

    Department of Geography, Autonomous University of Barcelona, 08193 Cerdanyola del Valles (Bellaterra), Spain;

    Department of Geography, Autonomous University of Barcelona, 08193 Cerdanyola del Valles (Bellaterra), Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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