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Derivation of tasselled cap transformation coefficients for ZY-3 MUX sensor data

  • role： First author第一作者
  • Email：shitingting93@163.com
  • Introduction：施婷婷，1993年生，女，博士研究生，研究方向为环境资源遥感应用。E-mail：shitingting93@163.com
Tingting SHI,  
  • role： Corresponding author通信作者
  • Email：hxu@fzu.edu.cn
  • Introduction：徐涵秋，1955年生，男，教授，研究方向为环境资源遥感应用。E-mail：hxu@fzu.edu.cn
Hanqiu XU*,  
  • No information about the author is available
Shuai WANG

Resümee

Tasseled Cap Transformation (TCT) is a commonly used remote sensing technique that has been successfully applied in various remote sensing fields. However, for high-resolution satellite sensors that usually have only four visible near-infrared bands but lack a mid-infrared band, the retrieval of the TCT wetness component has not always been successful with the traditional Gram–Schmidt (GS) orthogonalization method. Moreover, although a few studies have developed the wet component for such four-band sensor data, the derived results are somewhat unreasonable. Therefore, this study proposes a new method to derive the coefficients of the TCT wetness component for the four-band sensor data. In particular, the new method is used to derive the TCT coefficients of the ZiYuan-3 (ZY-3) MUX sensor data of China. Eleven ZY-3 MUX images and six synchronous/near synchronous Landsat 8 Operational Land Imager (OLI) images from different regions across China were used as test and validation images. From these image sets, seven ZY-3 MUX images and three Landsat 8 OLI images served as test images, while the other four ZY-3 MUX images and three Landsat 8 OLI image served as validation images. A large number of samples representing different land-cover types, such as dry and wet soil, dense vegetation, and water, were randomly selected from the test images. The new method proposed in this study for deriving the TCT coefficients is a back derivation (BD), in which the TCT wetness component rather than the brightness component was first retrieved, as previously performed in the traditional Gram–Schmidt method. Three synchronous/near synchronous image pairs of ZY-3 MUX and Landsat 8 OLI were used to derive the wetness component coefficient of ZY-3 MUX, particularly by relating the ZY-3 MUX data with the Landsat 8 wetness component based on the selected 735297 pixel samples. Then, the brightness and greenness components of the ZY-3 data were derived by implementing the traditional methods. Finally, the new BD method and the traditional method were compared to verify the feasibility of the new method. The experimental results indicate the following: (1) the TCT wetness component of ZY-3 MUX retrieved by the BD method can effectively solve the spectral distortion problem that exists with the wetness component of the four-band sensor data derived by the traditional method; (2) the scatters of the three components (brightness, greenness, and wetness) derived by the new method have typical tasselled-cap-like shapes in 3D feature space, and they are composed of the three components. Compared with the traditional GS method, the scatters of water, vegetation, and built land or bare soil retrieved by the BD method are clearly separated in 3D feature space, whereas the scatters vaguely overlap in the traditional GS method; (3) the accuracy of the TCT coefficients derived by the new method is higher than that derived by the traditional GS method, considering that the new method has a higher correlation coefficient (R) and a lower root mean square error when validated with the corresponding TCT components of the Landsat 8 data. This finding is due largely to the improved accuracy of the wetness component derived by the new method. This study provided a set of TCT coefficients for ZY-3 MUX sensor data, and it presented a new method for deriving TCT coefficients for high-resolution spatial remote sensing imageries with only four visible near-infrared bands but lack mid-infrared bands. The new method effectively solves the retrieval problem of the wetness component of the four-band sensor data existing in the traditional GS method.

Schlüsselwort

Tasseled Cap Transformation (TCT);wetness component;ZY-3;Landsat 8;Gram-Schmidt orthogonalization

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