遥感模拟图像应用于不同传感器光谱性能分析

Analysis of Spectral Characteristics Among Different Sensors by Use of Simulated RS Images

  • 摘要: 研究利用高光谱成像数据,用数字的方法定量模拟了SPOT-HRV、CBERS-CCD、Landsat5-TM和NOAA14-AVHRR类似波段的空中表面反射率及地面光谱反射率图像,并利用这些图像对上述传感器相应波段的光谱响应、大气影响特性用基于反射率和基于归一化植被指数(NDVI)的方法进行了定量的比较分析。研究表明,由于传感器类似波段的光谱响应不同,因而由其计算的反射率和NDVI之间均存在明显差异,这种差异是大气改正所无法完全消除的。多传感器定量分析时需要进行相应的辐射改正。

     

    Abstract: This research, by use of RS image-simulating method, simulated apparent reflectance images at senor level and ground-reflectance images of SPOT-HRV, CBERS-CCD, Landsat-TM and NoAA14-AVHRR's corresponding bands.These images were used to analyze sensor's differences cased by spectral sensitivity and atmospheric impacts. The differences were analyzed on normalized difference vegetation index(NDVI). The results showed, the differences of sensors' spectral characteristics cause changes of their NDVI and reflectance. When multiple sensors' data are applied to digital analysis, the error should be taken into account. Atmospheric effect makes NDVI smaller, and atmospheric correction has the tendency of increasing NDVI values. The reflectance and their NDVI of different sewn can be ed to analyze the differences among sensors features. The spectral analysis method based on RS simulated images can provide a new way to design the spectral characteristics of new sensors.

     

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