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An improved approach for small object detection in hyperspectral images
O Ozdil, YE Esin, S Ozturk - 2022 9th International Conference …, 2022 - ieeexplore.ieee.org
Due to the fact hyperspectral cameras have low spatial resolution values, small target
detection becomes a challenging task. In this study, a new method was proposed to detect …
detection becomes a challenging task. In this study, a new method was proposed to detect …
Hyperspectral target detection using long short-term memory and spectral angle mapper
Hyperspectral images are obtained by dividing the electromagnetic spectrum into hundreds
of narrow bands. Thanks to this feature, hyperspectral imaging is successful in …
of narrow bands. Thanks to this feature, hyperspectral imaging is successful in …
Practical Focus Adjustment Method for Hyperspectral Cameras
In order to get a clear picture from the cameras, many settings need to be done correctly.
One of the most important of these settings is the focus setting. If the focus is not set correctly …
One of the most important of these settings is the focus setting. If the focus is not set correctly …
Generating Spectral Signature Library for Patterned Object in Hyperspectral Images
Small objects cover within a few pixels or even cover subpixels due to the low spatial
resolution of hyperspectral cameras. This factor significantly reduces the detection …
resolution of hyperspectral cameras. This factor significantly reduces the detection …
Segmentation-Aware Hyperspectral Image Classification
In this paper, we propose an unified hyperspectral image classification method which takes
three-dimensional hyperspectral data cube as an input and produces a classification map. In …
three-dimensional hyperspectral data cube as an input and produces a classification map. In …