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This paper examines target detection statistics when scene illumination changes from full solar illumination to scenes which are topographically shadowed as well as scenes under twilight conditions. The impact of scene shadowing is examined using forward simulations of hyperspectral scenes. The reference reflectance scene contains man-made elements as well as significant areas of vegetation, roads, and bare dirt. The digital elevation map of the area has been modified with the addition of a tall mountain ridge placed to the west of the reference scene. For the detection study a spectral signature from a blue roof retrieved from the scene was randomly embedded into the scene at subpixel levels. The scene radiance is then simulated for various solar zenith angles which produce fully shadowed, partly shadowed, and fully sunlit images. Target detection is performed on these simulated scenes after in-scene atmospheric correction. Standard detection methods yield degraded performance as portions of the scene become shadowed. Approaches that segregate the sunlit and shadowed areas are investigated and shown to improve detection results.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Robert L. Sundberg
"The impact of topographic shadows on subpixel target detection", Proc. SPIE 12688, Imaging Spectrometry XXVI: Applications, Sensors, and Processing, 1268803 (20 October 2023); https://doi.org/10.1117/12.2675427
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Robert L. Sundberg, "The impact of topographic shadows on subpixel target detection," Proc. SPIE 12688, Imaging Spectrometry XXVI: Applications, Sensors, and Processing, 1268803 (20 October 2023); https://doi.org/10.1117/12.2675427