Feb 19, 2019 · In this paper, we design a novel underwater hyperspectral imaging technique for deep-sea mining detection. The spectral sensitivity peaks ...
In this paper, we design a novel underwater hyperspectral imaging technique for deep-sea mining detection. The spectral sensitivity peaks are in the region ...
Get details about the chapter of Hyperspectral Images Segmentation Using Active Contour Model for Underwater Mineral Detection from book Cognitive Internet ...
2020, Springer Nature Switzerland AG. In this paper, we design a novel underwater hyperspectral imaging technique for deep-sea mining detection.
This paper presents a supervised active contour model, which is applicable to vector-valued images with non-homogeneous regions and high number of frames. In ...
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Hyperspectral Images Segmentation Using Active Contour Model for Underwater Mineral Detection. In Cognitive Internet of Things: Frameworks, Tools and ...
The UNet model proposed by Ronneberger et al. has achieved excellent results in the semantic segmentation of medical images that also have small sample sizes ...
- Improves generalization ability for data outside training set. Hyperspectral Images Segmentation Using Active Contour Model for Underwater Mineral Detection.
Nakashima et al., “Hyperspectral images segmentation using active contour model for underwater mineral detection,” in 2018 3th Int. Symp. on Artificial.
In this paper, we propose a novel approach based on the active contours model for change detection from synthetic aperture radar (SAR) images.