Biosecurity Scanning News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Hyperspectral image segmentation is an emerging area with numerous applications, including agriculture, forestry, environment monitoring, and remote sensing. This paper proposes a new neural architecture search algorithm, named AdaptorNAS, for hyperspectral image segmentation. AdaptorNAS aims to design the optimum decoder for any given encoder. In our approach, the search space of AdaptorNAS is a large deep neural network (DNN), and the optimal decoder is derived by pruning the large DNN via a perturbation-based pruning strategy. Verified on three popular encoders, i.e., ResNet-34, MobileNet-V...

Biosecurity scanning plays a crucial role in preventing exotic pests, weeds and contaminants from entering a country through shipping containers. Exposure to biosecurity risks causes a substantial loss to the native environment, production value and public health. Currently, these threats are managed via manual inspection, detector dogs and x-ray scanners; however, these procedures are time-consuming, error-prone, or costly. In this research, we propose a novel approach for biosecurity risk detection that utilizes hyperspectral imaging technology and semantic image segmentation. This approach ...