The division of focal plane (DoFP) polarimeters gradually become the mainstream technology in the field of polarization imaging. In this paper, the multispectral DoFP polarimeter is implemented using commercial off-the-shelf technology, and an information model of which is established. Due to the unavoidable nonuniformity of the response of different pixels and the need to ensure data accuracy in quantitative applications, we describe the calibration method to complete the system-level polarimetric calibration of the multispectral DoFP polarimeter. Finally, the validity of the calibration method was verified by testing in the laboratory with high-precision polarizing glass piles with an adjustable polarization degree.
Clouds play an important role in weather and climate-related investigations. However, they often influence the quality of images and waste resources of storage and bandwidth in remote sensing. So, it is critical to detect clouds for less cost of payload. In this paper, the design of a real-time cloud detection camera for small satellite platforms is proposed based on field programmable gate array (FPGA). Two MicroBlaze Soft Cores are embedded in the FPGA to accomplish the task without other chips assist. By using this way, the system is highly programmable and integrated, the weight of which also becomes lighter. We implemented the system on a Xilinx Virtex-4 FPGA. The test results show that the signal-to-noise ratio (SNR) is 128.1 at 80% of the saturated exposure. We select Arabian Peninsula-Pakistan-West India area to evaluate the cloud judgment accuracy. Compare with moderate resolution imaging spectroradiometer (MODIS) cloud mask products, the false alarm rate (FAR) is less than 3%. The application of the proposed approach in a simulation and engineering system indicates its effectiveness and practicability.
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