Super Resolution For Remote Sensing Applications Using Deep Learning Techniques

DOWNLOAD

Download Super Resolution For Remote Sensing Applications Using Deep Learning Techniques PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Super Resolution For Remote Sensing Applications Using Deep Learning Techniques book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Super Resolution For Remote Sensing Applications Using Deep Learning Techniques

DOWNLOAD
Author : G. Rohith
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2022-12-14

Super Resolution For Remote Sensing Applications Using Deep Learning Techniques written by G. Rohith and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Computers categories.

Satellite image processing is crucial in detecting vegetation, clouds, and other atmospheric applications. Due to sensor limitations and pre-processing, remotely sensed satellite images may have interpretability concerns as to specific portions of the image, making it hard to recognise patterns or objects and posing the risk of losing minute details in the image. Existing imaging processors and optical components are expensive to counterfeit, have interpretability issues, and are not necessarily viable in real applications. This book exploits the usage of deep learning (DL) components in feature extraction to boost the minute details of images and their classification implications to tackle such problems. It shows the importance of super-resolution in improving the spatial details of images and aiding digital aerial photography in pan-sharpening, detecting signatures correctly, and making precise decisions with decision-making tools.

Super Resolution For Remote Sensing

DOWNLOAD
Author : Michal Kawulok
language : en
Publisher: Springer Nature
Release Date : 2024-10-14

Super Resolution For Remote Sensing written by Michal Kawulok and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.

This book provides a comprehensive perspective over the landscape of super-resolution techniques developed for and applied to remotely-sensed images. The chapters tackle the most important problems that professionals face when dealing with super-resolution in the context of remote sensing. These are: evaluation procedures to assess the super-resolution quality; benchmark datasets (simulated and real-life); super-resolution for specific data modalities (e.g., panchromatic, multispectral, and hyperspectral images); single-image super-resolution, including generative adversarial networks; multi-image fusion (temporal and/or spectral); real-world super-resolution; and task-driven super-resolution. The book presents the results of several recent surveys on super-resolution specifically for the remote sensing community.

Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images

DOWNLOAD
Author : Yakoub Bazi
language : en
Publisher: MDPI
Release Date : 2021-06-15

Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images written by Yakoub Bazi and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Science categories.

The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.

Computational Intelligence Methods For Super Resolution In Image Processing Applications

DOWNLOAD
Author : Anand Deshpande
language : en
Publisher: Springer Nature
Release Date : 2021-05-28

Computational Intelligence Methods For Super Resolution In Image Processing Applications written by Anand Deshpande and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Technology & Engineering categories.

This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomedical engineering, healthcare applications, medicine, histology, and material science. The book will be a valuable reference for anyone concerned with multiple multimodal images, especially professionals working in remote sensing, nanotechnology and immunology at research institutes, healthcare facilities, biotechnology institutions, agribusiness services, veterinary facilities, and universities.

Image Fusion In Remote Sensing

DOWNLOAD
Author : Arian Azarang
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2021-02-24

Image Fusion In Remote Sensing written by Arian Azarang and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-24 with Technology & Engineering categories.

Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.

Remote Sensing Applications In Oceanography With Deep Learning

DOWNLOAD
Author : Muhammad Yasir
language : en
Publisher: Frontiers Media SA
Release Date : 2025-10-30

Remote Sensing Applications In Oceanography With Deep Learning written by Muhammad Yasir and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-30 with Science categories.

Remote sensing technology has revolutionized ocean exploration, allowing researchers to monitor and understand various oceanographic processes and phenomena on a global scale. Remote sensing, which involves the use of satellites and aircraft to collect data about the planet's surface and atmosphere, enables scientists to monitor oceanic conditions in real-time, track changes in sea level, and analyse marine ecosystems. Deep learning plays a pivotal role in enhancing remote sensing technology, revolutionizing how we collect, interpret, and utilize vast amounts of environmental data. By leveraging deep learning, remote sensing can identify subtle patterns and anomalies that traditional methods might miss, such as climate change impacts. Together, remote sensing and ocean exploration enhance our ability to protect marine environments, sustain biodiversity, and address global challenges like climate change and sustainable development. These advancements not only deepen our scientific knowledge but also inform policy decisions and conservation efforts, ensuring the health and resilience of the world's oceans for future generations. This Research Topic compiles the latest research and developments in the application of remote sensing techniques, particularly using deep learning methods, to improve our understanding of the oceans. We invite original research articles, reviews, and case studies on the following topics: • Advanced remote sensing techniques for ocean observation, including deep learning-based approaches. • Integration of satellite, aerial, and in-situ data for oceanographic studies using deep learning. • Machine learning and artificial intelligence algorithms optimized for ocean remote sensing. • Hyperspectral and multispectral imaging for marine applications enhanced by deep learning techniques. • SAR (Synthetic Aperture Radar) applications in oceanography with deep learning models. • Remote sensing of coastal and estuarine environments using deep learning architectures. • Monitoring of harmful algal blooms using deep learning algorithms applied to remote sensing data. • Deep learning-based approaches for remote sensing of coral reefs and marine habitats. • Applications of deep learning in fisheries management utilizing remote sensing data. • Deep learning-based assessment of climate change impacts on oceans using remote sensing datasets. Manuscripts relating to practical applications in ecological monitoring and marine target tracking can be submitted to the Research Topic ‘Remote Sensing Applications in Marine Ecology Monitoring and Target Sensing’ https://www.frontiersin.org/research-topics/64528/remote-sensing-applications-in-marine-ecology-monitoring-and-target-sensing.

Deep Neural Network For Super Resolution Of Multitemporal Remote Sensing Images

DOWNLOAD
Author : Pol Masó Ayats
language : en
Publisher:
Release Date : 2020

Deep Neural Network For Super Resolution Of Multitemporal Remote Sensing Images written by Pol Masó Ayats and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Since few years ago, artificial intelligence (AI) has become a spotlight technology in which a lot of people are interested in. Most of them want to do research and use it to solve a huge variety of modern and difficult computing problems which could be associated with a wide variety of interesting fields. As soon as AI has improved, convolutional neural networks (CNN) have taken an excellent role in the world of image processing, in particular, for Remote Sensing applications. Nevertheless, artificial intelligence for multi-image superresolution from multi-temporal imagery has received little attention so far. In this work, it is proposed a CNN, which exploits both spatial and temporal correlations in the low-resolution images by using two different convolutional layers (2D and 3D convolutions) to combine multiple satellite images from the same scene which are taken in different temporal moments. The experiments have been carried out using a dataset generated by Sentinel-2 (European Space Agency satellite) images captured over 2 different places over the world, New York and El Cairo. This model aims to obtain super-resolution images from five low-resolution images, or less, being aware of the number of input images that the CNN has.

Proceedings Of The International Symposium On Remote Sensing Of Environment

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2009

Proceedings Of The International Symposium On Remote Sensing Of Environment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Geophysics categories.

Recent Advances In Image Restoration With Applications To Real World Problems

DOWNLOAD
Author : Chiman Kwan
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-11-04

Recent Advances In Image Restoration With Applications To Real World Problems written by Chiman Kwan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Computers categories.

In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. This book intends to provide the reader with a glimpse of the latest developments and recent advances in image restoration, which includes image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and the generation of synthetic images using deep learning techniques. Some practical applications are also included.

International Aerospace Abstracts

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1999

International Aerospace Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Aeronautics categories.