Publications by authors named "Wen-Huan Cao"
Sensors (Basel)
January 2019
Article Synopsis
- The paper discusses how applying compressive sensing to infrared imaging systems can significantly reduce sampling and transmission time, addressing the need for real-time detection of small targets in remote sensing.
- Traditional methods involve reconstructing images from compressed data before target detection, which is inefficient; the proposed algorithm bypasses this by detecting targets directly in the compressive domain, saving time and memory.
- The new method achieves a high detection rate of 100% with a false alarm rate below 0.4%, and processes images in an average time of just 0.3 seconds, demonstrating its effectiveness in target detection.
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