main webpage W Topic Generative Adversarial Network IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • Vol 18 Spectral Constrained Generative Adversarial Network for Hyperspectral Compression 2025 Lossy compression exhibits remarkable capabilities in handling large volumes of data. However, information loss can affect spectral characteristics and spatial information to various degrees during hyperspectral compression. Therefore, it is essential to rest… Article Open Generative Adversarial Network Open Article Page

Generative Adversarial Network

Deep learning method A generative adversarial network ( GAN ) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks compete with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. Given a training set, this technique learns to generate new data with the same statistics as the training set. For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Critical Symbolic Virtual Narrative Open Generative Adversarial Network Open Article Page

Exploring foci of: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • Vol 18 Spectral Constrained Generative Adversarial Network for Hyperspectral Compression 2025 Lossy compression exhibits remarkable capabilities in handling large volumes of data. However, information loss can affect spectral characteristics and spatial information to various degrees during hyperspectral compression. Therefore, it is essential to restrict the range of spectral changes, as each spectral curve corresponds to a distinct semantic context. In this article, we propose a spectral-constrained generative adversarial network (SCGAN) for hyperspectral compression. Specifically, SCGAN integrates compr… Open Article Page

Click Generative Adversarial Network Vs: Computer Science Generative Grammar Artificial Intelligence Deep Learning Materials Science Composite Material Open Article Page

Explore Generative Adversarial Network W Topic Generative Adversarial Network IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • Vol 18 Spectral Constrained Generative Adversarial Network for Hyperspectral Compression 2025 Lossy compression exhibits remarkable capabilities in handling large volumes of data. However, information loss can affect spectral characteristics and spatial information to various degrees during hyperspectral compression. Therefore, it is essential to rest… Article Critical Symbolic Virtual Narrative Open Generative Adversarial Network Open Article Page