Images posted to social media Thursday show what experts said are U.S. land mines dispersed across a residential area in southern Iran, in what appears to be the first instance in more than two ...
Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.
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Trump-backed refinery project in Texas could become first new US oil refinery in 50 years
Texas Land Commissioner Dawn Buckingham joins 'Mornings with Maria' to discuss a historic new Texas oil refinery project and the state’s push to develop rare earth minerals to counter China’s ...
Abstract: A dynamic graph convolutional network (DGCN) can represent temporal evolutionary features. Its compatibility with the spectral-dimensional characteristics of hyperspectral images (HSIs), ...
Abstract: Feature representation is crucial for hyperspectral image (HSI) classification. However, existing convolutional neural network (CNN)-based methods are limited by the convolution kernel and ...
Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
Abstract: Particularly for Russell's Viper and Python, the increasing interactions between people and Indian rock reptiles make appropriate and early identification more crucial to assure public ...
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