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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

This reprint provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These technique...

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Bibliographic Details
Main Author:	Jeon, Gwanggil
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Retinex Theory Cloud Matting Discriminative Representation Learning Multi-dimensional Prediction Model Solar Panel Atmospheric Turbulence Two-step Convolution Model Live Fuel Moisture Content Capacity Estimation Multimodal Cloud Removal Dilated Convolution Fine-grained Image Classification N/a Maritime Communication Remote-sensing Vehicle Detection Solar Farm Autoencoder Significant Wave Height Transformer Data Fusion Deep Learning Optical Remote Sensing Lstm Few-shot Learning Peri-urban Forests Improved Transformer Encoder Flexiblenet Evaluation Methods Ensemble Learning Altimeter Spatiotemporal Fusion Lightweight Convolutional Neural Network Turbulence Degradation Mode Detection Principal Component Analysis Attention Mechanism Sea Surface Temperature Multiscale Feature Fusion Interdimensional Attention Research & Information: General / Bicssc Digital Surface Model Spectrogram Augmentation Curriculum Learning Improved Tversky Loss Remote Image Self-attention Photovoltaics Gaussian Process Regression Image Reconstruction Image Super-resolution Remote Sensing Cloud Detection Cnn Multi-source Remote Sensing Computer Vision Semi-supervised Learning Carbon Sequestration Sar Target Recognition Reconstruction Refinement Semantic Segmentation Depthwise Separable Convolutional Neural Networks Geography / Bicssc Noise Suppression Deblurring Feature Separation Model Design Global Correlation Information Convolutional Neural Network Sar Orbital Angular Momentum Attention Pyramid Robust Deep Learning Evaporation Duct Sound Detection Multi-scale Supervision Mutual Information Low-light Image Enhancement
Online Access:	https://www.mdpi.com/books/pdfview/book/7482 https://directory.doabooks.org/handle/20.500.12854...
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	This reprint provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:	1 electronic resource (362 p.)
ISBN:	books978-3-0365-7947-4 9783036579474 9783036579467

Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

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