Data Quality Evaluation and Application Potential Analysis of Tiangong-2 Wide-Band Imaging Spectrometer

Abstract

ABSTRACT:Tiangong-2 is the first space laboratory in China, which launched in September 15, 2016. Wide-band Imaging Spectrometer is a medium resolution multispectral imager on Tiangong-2. In this paper, the authors introduced the indexes and parameters of Wideband Imaging Spectrometer, and made an objective evaluation about the data quality of Wide-band Imaging Spectrometer in radiation quality, image sharpness and information content, and compared the data quality evaluation results with that of Landsat-8. Although the data quality of Wide-band Imager Spectrometer has a certain disparity with Landsat-8 OLI data in terms of signal to noise ratio, clarity and entropy. Compared with OLI, Wide-band Imager Spectrometer has more bands, narrower bandwidth and wider swath, which make it a useful remote sensing data source in classification and identification of large and medium scale ground objects. In the future, Wide-band Imaging Spectrometer data will be widely applied in land cover classification, ecological environment assessment, marine and coastal zone monitoring, crop identification and classification, and other related areas.

Shoreline Extraction from WorldView2 Satellite Data in the Presence of Foam Pixels Using Multispectral Classification Method

“…Many classification methods have been developed for land classification. Yu et al [26] compared Euclidean Distance (ED), Maximum Likelihood (ML), Spectral Angle Mapper (SAM), and Support Vector Machine (SVM) classification methods to map land cover types using Tiangong-2 multispectral satellite data (CNSA (Chinese National Space Administration), [27]). For the classification of land cover types of the Qinghai Lake area (China), the overall classification accuracy of the SVM technique was found to be the highest, followed by the SAM, ED, and ML performance results.…”