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AI model developed to unlock the potential of satellite imagery for land cover mapping
A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...
IEEE25d
DCTN: Dual-Branch Convolutional Transformer Network With Efficient Interactive Self-Attention for Hyperspectral Image Classification
Abstract: Hyperspectral image (HSI) classification is an essential task in remote sensing with substantial practical significance. However, most existing convolutional neural network (CNN)-based ...
IEEE28d
Cryptanalyzing an Image Encryption Algorithm Underpinned by a 3-D Boolean Convolution Neural Network
Abstract: This article analyzes the security performance of an image encryption algorithm based on a 3-D Boolean convolutional neural network (CNN). The algorithm utilizes the convolutional layers of ...
Tech Xplore on MSN2d
AI image models gain creative edge by amplifying low-frequency features
Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...