Landsat-8长条带正射产品生成及系统实现
发布时间：2019-05-08 07:24
【摘要】：Landsat-8传感器采用线阵推扫式成像,通过分景处理获得标准景产品。面对大范围遥感数据需求,长条带数据具有更高的应用价值。长条带数据的一般获取方法是通过拼接标准景正射产品的方式,该方法处理效率不高,并且当条带中某景由于云覆盖量较多无法生产正射产品时,将无法通过多景拼接的方式生成相应的长条带正射产品。针对此方法存在的问题,本文提出一种Landsat-8长条带影像的正射校正方法。以长条带影像为整体,通过控制点匹配、长条带几何精校正和正射校正三个部分,直接生成长条带级别的正射校正产品。实验结果表明,在15景的条带长度范围内,本文方法生成的长条带正射产品的几何精度在12m以内,满足Landsat-8正射产品的精度要求,且处理效率相较于标准景拼接方式提升1倍左右;对于云覆盖较多的景,利用连续三景进行长条带正射校正,可以得到与标准景正射产品几何精度相当的长条带正射产品;使用Packbits无损压缩方法在正确格式化输出长条带数据产品的同时,取得了良好的压缩效果。证明本文提出的长条带处理方法,在一定长度范围内,能够得到满足Landsat-8正射产品的精度要求的长条带正射产品,处理效率得到较大提高,且能够有效克服传统方法中云覆盖情形对长条带产品获取的限制。
[Abstract]:Landsat-8 sensor adopts linear array push-broom imaging, and obtains standard scene products by dividing scene processing. In the face of large-scale remote sensing data demand, strip data has higher application value. The general method of obtaining long strip data is by splicing standard scene orthophoto products, which is not efficient, and when a scene in the strip is unable to produce orthophoto products due to more cloud coverage, Multi-scene splicing will not be able to generate the corresponding strip orthophoto products. In order to solve the problem of this method, a orthophotogenic correction method for Landsat-8 strip image is proposed in this paper. Taking the long strip image as a whole, by matching the control points, geometric precision correction and orthophotometry of the long strip, a long band level orthophoto correction product is directly generated. The experimental results show that the geometric accuracy of the long strip orthophoto product generated by this method is less than 12m in the band length range of 15 scenes, which meets the precision requirements of Landsat-8 orthophoto products. The processing efficiency is about 1 times higher than that of the standard scene splicing method. For the scene with more cloud cover, the long strip orthophoto correction can be obtained by using three consecutive scenes, and the long strip orthophoto product can be obtained which is equivalent to the geometric precision of the standard scene orthophoto product. Packbits lossless compression method is used to correctly format the output long strip data products, and achieve good compression effect at the same time. It is proved that the long strip processing method proposed in this paper can obtain the long strip orthophoto products which meet the precision requirements of Landsat-8 orthophoto products within a certain length range, and the processing efficiency is greatly improved. And it can effectively overcome the limitations of cloud coverage on strip product acquisition in traditional methods.
【学位授予单位】：中国科学院大学(中国科学院遥感与数字地球研究所)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP75
本文编号：2471713
[Abstract]:Landsat-8 sensor adopts linear array push-broom imaging, and obtains standard scene products by dividing scene processing. In the face of large-scale remote sensing data demand, strip data has higher application value. The general method of obtaining long strip data is by splicing standard scene orthophoto products, which is not efficient, and when a scene in the strip is unable to produce orthophoto products due to more cloud coverage, Multi-scene splicing will not be able to generate the corresponding strip orthophoto products. In order to solve the problem of this method, a orthophotogenic correction method for Landsat-8 strip image is proposed in this paper. Taking the long strip image as a whole, by matching the control points, geometric precision correction and orthophotometry of the long strip, a long band level orthophoto correction product is directly generated. The experimental results show that the geometric accuracy of the long strip orthophoto product generated by this method is less than 12m in the band length range of 15 scenes, which meets the precision requirements of Landsat-8 orthophoto products. The processing efficiency is about 1 times higher than that of the standard scene splicing method. For the scene with more cloud cover, the long strip orthophoto correction can be obtained by using three consecutive scenes, and the long strip orthophoto product can be obtained which is equivalent to the geometric precision of the standard scene orthophoto product. Packbits lossless compression method is used to correctly format the output long strip data products, and achieve good compression effect at the same time. It is proved that the long strip processing method proposed in this paper can obtain the long strip orthophoto products which meet the precision requirements of Landsat-8 orthophoto products within a certain length range, and the processing efficiency is greatly improved. And it can effectively overcome the limitations of cloud coverage on strip product acquisition in traditional methods.
【学位授予单位】：中国科学院大学(中国科学院遥感与数字地球研究所)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP75
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