Short wave infrared (SWIR) is the reflected radiance in the 1-2.5 μm range. Mid wave infrared (MWIR) is the radiated radiance in the 3-5 μm range. This paper proposes a paint detection method using two infrared bands with different characteristics. Object detection is one of the issues in hyperspectral image (HSI). We use one dimensional convolution neural network (1D-CNN) and guided gradient-weighted class activation mapping (Guided Grad-CAM) for band selection. We make a 1D-CNN architecture and select bands using Guided Grad- CAM from well-trained 1D-CNN. Finally, paint is detected using selected bands. We use datasets included short wave infrared band (SWIR) and mid wave infrared band (MWIR).
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