Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
Abstract: Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a ...
Abstract: Deep learning has emerged as a critical paradigm in hyperspectral image (HSI) classification, addressing the inherent challenges posed by high-dimensional data and limited labeled samples.
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Abstract: Online image super-resolution (SR) services have been widely used in applications such as Remini and DeepAI. However, the exposure of plaintext images raises serious privacy concerns. While ...
An interstellar comet first spotted passing through our solar system in July is beginning its departure from our corner of the universe — but first it will fly by Earth, and scientists are capturing ...
Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional neural network (CNN)-based methods ...
President Donald Trump said Wednesday he thinks it's "imperative" that CNN is sold as its parent company, Warner Bros. Discovery, gears up for a proposed merger with Netflix and faces a hostile ...
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