... networks for clas- sification of hyperspectral and LiDAR data, IEEE Geoscience and Remote Sensing Letters 19 (2022) ... attention based spectrospatial multimodal fusion network for hyperspectral and LiDAR classification, in ...
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding.
Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data ...
... unmixing for hyperspectral and multispectral data fusion. IEEE Transactions on Geoscience and Remote Sensing, 50(2): ... Attention gans: Unsupervised deep feature learning for aerial scene classification. IEEE Transactions on ...
This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related ...
In this issue of Heart Failure Clinics, guest editors Drs. Ragavendra R Baliga and George A. Mensah bring their considerable expertise to the topic of Translational Research in Cardio-Oncology.
This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF).
Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection ...
The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014.
This book is written by international peers who have academic and professional credentials, with each chapter addressing a particular topic or specific application of the technology.