کتاب دانلود کتب لاتین علوم مهندسیرایانه، اینترنت و فناوری اطلاعات
یادگیری عمیق برای آنالیز و طبقه بندی تصویر فراطیفی
یادگیری عمیق برای آنالیز و طبقه بندی تصویر فراطیفی

Deep Learning for Hyperspectral Image Analysis and Classification
نویسنده: Linmi Tao, Atif Mughees
سال انتشار: 2021
تعداد صفحات: 217
زبان فایل: انگلیسی
فرمت فایل: pdf
حجم فایل: 14MB
قیمت: 100,000ريال

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Publisher : Springer

ISBN-10 : 9813344199

ISBN-13 : 978-9813344198

ASIN : B08X47MMBR

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly.

This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are the original contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.