Sar Image Interpretation For Various Land Covers


Sar Image Interpretation For Various Land Covers
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Sar Image Interpretation For Various Land Covers


Sar Image Interpretation For Various Land Covers
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Author : Elizabeth L. Simms
language : en
Publisher: CRC Press
Release Date : 2019-12-04

Sar Image Interpretation For Various Land Covers written by Elizabeth L. Simms and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-04 with Science categories.


This full color book is a comprehensive visual reference for the interpretation of synthetic aperture radar (SAR) images with examples of how technological specifications may affect interpretation solutions. It contains a summary review of image acquisition parameters of consequence on the visual representation of objects, introduces traditional interpretation keys under different light and applies them for considering regional landscape components and identifying large-scale geographical ensembles. Through elements of interpretation such as the construct of tone, texture, pattern, size, and shape, the book explains the rich unique context of many terrains. It provides also several SAR X- and C-band image examples of regional and large-scale land use and land cover (LULC) ensembles, includes important explanations for each illustration, and highlights selected SAR image applications. Ancillary information includes acquisition specifications, a geographic scale, and the image-center latitude and longitude. Features: Provides ready access to any type of information for an image interpretation problem related to current LULC classification schemes. Presents scalable geographic information interpreted at a regional scale and land cover ensembles that can also be interpreted locally. Provides comparative examples of images acquired from X- and C-band, opposed look directions, near- and far-range incidence angles, like- and cross-polarization modes. Includes practical explanations easily transferred to individual’s research projects. Designed as "visual dictionary," SAR Image Interpretation for Various Land Covers: A Practical Guide, is an excellent introduction to the visual interpretation of SAR images for numerous types of LULC. Both practitioners and students will familiarize themselves with and expand their knowledge of geographic information conveyed from radar images while government agencies and businesses that use LULC-related data for emergency response cases of for urban and regional planning, will find this book invaluable.



Sar Image Interpretation For Various Land Covers


Sar Image Interpretation For Various Land Covers
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Author : Elizabeth L. Simms
language : en
Publisher: CRC Press
Release Date : 2019-12-06

Sar Image Interpretation For Various Land Covers written by Elizabeth L. Simms and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Science categories.


This full color book is a comprehensive visual reference for the interpretation of synthetic aperture radar (SAR) images with examples of how technological specifications may affect interpretation solutions. It contains a summary review of image acquisition parameters of consequence on the visual representation of objects, introduces traditional interpretation keys under different light and applies them for considering regional landscape components and identifying large-scale geographical ensembles. Through elements of interpretation such as the construct of tone, texture, pattern, size, and shape, the book explains the rich unique context of many terrains. It provides also several SAR X- and C-band image examples of regional and large-scale land use and land cover (LULC) ensembles, includes important explanations for each illustration, and highlights selected SAR image applications. Ancillary information includes acquisition specifications, a geographic scale, and the image-center latitude and longitude. Features: Provides ready access to any type of information for an image interpretation problem related to current LULC classification schemes. Presents scalable geographic information interpreted at a regional scale and land cover ensembles that can also be interpreted locally. Provides comparative examples of images acquired from X- and C-band, opposed look directions, near- and far-range incidence angles, like- and cross-polarization modes. Includes practical explanations easily transferred to individual’s research projects. Designed as "visual dictionary," SAR Image Interpretation for Various Land Covers: A Practical Guide, is an excellent introduction to the visual interpretation of SAR images for numerous types of LULC. Both practitioners and students will familiarize themselves with and expand their knowledge of geographic information conveyed from radar images while government agencies and businesses that use LULC-related data for emergency response cases of for urban and regional planning, will find this book invaluable.



Analysis Of Spaceborne Synthetic Aperture Radar Images To Assist In Statewide Land Cover Mapping And Long Term Ecological Research


Analysis Of Spaceborne Synthetic Aperture Radar Images To Assist In Statewide Land Cover Mapping And Long Term Ecological Research
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Author : Jonathan Ward Chipman
language : en
Publisher:
Release Date : 1996

Analysis Of Spaceborne Synthetic Aperture Radar Images To Assist In Statewide Land Cover Mapping And Long Term Ecological Research written by Jonathan Ward Chipman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.




Optical And Sar Remote Sensing Of Urban Areas


Optical And Sar Remote Sensing Of Urban Areas
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Author : Courage Kamusoko
language : en
Publisher:
Release Date : 2022

Optical And Sar Remote Sensing Of Urban Areas written by Courage Kamusoko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.


This book introduces remotely sensed image processing for urban areas using optical and synthetic aperture radar (SAR) data and assists students, researchers, and remote sensing practitioners who are interested in land cover mapping using such data. There are many introductory and advanced books on optical and SAR remote sensing image processing, but most of them do not serve as good practical guides. However, this book is designed as a practical guide and a hands-on workbook, where users can explore data and methods to improve their land cover mapping skills for urban areas. Although there are many freely available earth observation data, the focus is on land cover mapping using Sentinel-1 C-band SAR and Sentinel-2 data. All remotely sensed image processing and classification procedures are based on open-source software applications such QGIS and R as well as cloud-based platforms such as Google Earth Engine (GEE). The book is organized into six chapters. Chapter 1 introduces geospatial machine learning, and Chapter 2 covers exploratory image analysis and transformation. Chapters 3 and 4 focus on mapping urban land cover using multi-seasonal Sentinel-2 imagery and multi-seasonal Sentinel-1 imagery, respectively. Chapter 5 discusses mapping urban land cover using multi-seasonal Sentinel-1 and Sentinel-2 imagery as well as other derived data such as spectral and texture indices. Chapter 6 concludes the book with land cover classification accuracy assessment.



Land Applications Of Radar Remote Sensing


Land Applications Of Radar Remote Sensing
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Author : Damien Closson
language : en
Publisher: BoD – Books on Demand
Release Date : 2014-06-11

Land Applications Of Radar Remote Sensing written by Damien Closson 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 2014-06-11 with Science categories.


The aim of this book is to demonstrate the use of SAR data in three application domains, i.e. land cover (Part II), topography (Part III), and land motion (Part IV). These are preceded by Part I, where an extensive and complete review on speckle and adaptive filtering is provided, essential for the understanding of SAR images. Part II is dedicated to land cover mapping. Part III is devoted to the generation of Digital Elevation Models based on radargrammetry and on a wise fusion (by considering sensor characteristic and acquisition geometry) of interferometric and photogrammetric elevation data. Part IV provides a contribution to three applications related to land motion.



Radar And Multispectral Image Fusion Options For Improved Land Cover Classification


Radar And Multispectral Image Fusion Options For Improved Land Cover Classification
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Author : Erwin J. Villiger
language : en
Publisher:
Release Date : 2008

Radar And Multispectral Image Fusion Options For Improved Land Cover Classification written by Erwin J. Villiger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Image converters categories.


Investigators engaged in research utilizing remotely-sensed data are increasingly faced with a plethora of data sources and platforms that exploit different portions of the electromagnetic spectrum. Considerable efforts have focused on the application of these sources to the development of a better understanding of lithosphere, biosphere, and atmospheric systems. Many of these efforts have concentrated on the use of single sensors. More recently, some research efforts have turned to the fusion of sources in an effort to determine if different sensors and platforms can be combined to more effectively analyze or model the systems in question. This study evaluates multisensor integration of Synthetic Aperture Radar (SAR) with Multispectral Imagery (MSI) data for land cover analysis and vegetation mapping. Three principle analytical issues are addressed in this investigation: the value of SAR collected at different incident angles, preclassification processing alternatives to improve fusion classification results, and the value of cross-season (dry and wet) data integration in a subtropical climate. The study site for this research is Andros Island, the largest island in The Bahamas archipelago. Andros has a number of distinct plant communities ranging from saltwater marsh and mangroves to pine stands and hardwood coppices. Despite the island's size and proximity to the United States, it is largely uninhabited and has large expanses of minimally disturbed landscapes. An empirical assessment of SAR filtering techniques, namely speckle suppression and texture analysis at various window sizes, is utilized to determine the most appropriate technique to apply when integrating SAR and MSI for land cover characterization. Multiple RADARSAT-1 SAR images were collected at various incident angles for wet and dry season conditions over the region of interest. Two Landsat Thematic Mapper-5 MSI datasets were also collected to coincide with the time periods of the SAR images. A land cover classification process applied to the dry season and wet season MSI data achieved a total classification accuracy of 80.6% and 80.7% respectively. When combined into a single multiseason dataset the MSI data resulted in a total classification accuracy of 87.3%. SAR proved to be a valuable source of information especially when processed as a time series and with a speckle suppression algorithm applied. A 21-scene multitemporal SAR dataset achieved a total classification accuracy of 65.8%. When a classification was applied to the multitemporal dataset following speckle suppression, the resulting total classification accuracy was as high as 83.8% depending on the speckle algorithm and kernel applied. While texture measures have been successfully utilized for integrating SAR and MSI data, in this study speckle suppression proved to be significantly more valuable. SAR collection parameters such as look direction (ascending or descending orbit) and incident angle did not prove to contain uniquely valuable characteristics. The highest total classification accuracy achieved involved a combination of two MSI datasets and a multitemporal SAR dataset processed to suppress speckle using a Gamma- Maximum A Posteriori (MAP) filter with a 9x9 kernel. This study sought to investigate processing alternatives when fusing SAR and MSI data. While not all of the results met with expectations, this study does determine that SAR and MSI are complementary data sources. A combination of SAR and MSI provide unique and valuable results that can not be achieved by each variable used independently.



Polarimetric Sar Techniques And Applications


Polarimetric Sar Techniques And Applications
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Author : Carlos López-Martínez
language : en
Publisher: MDPI
Release Date : 2018-03-23

Polarimetric Sar Techniques And Applications written by Carlos López-Martínez and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-23 with categories.


This book is a printed edition of the Special Issue "Polarimetric SAR Techniques and Applications" that was published in Applied Sciences



2019 9th International Conference On Recent Advances In Space Technologies Rast


2019 9th International Conference On Recent Advances In Space Technologies Rast
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2019-06-11

2019 9th International Conference On Recent Advances In Space Technologies Rast written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.


RAST 2019 aims providing a forum for the presentation and reviw of recent developments in the space technologies, especially in the Space for the Sustainable Development Goals



Spaceborne Synthetic Aperture Radar Remote Sensing


Spaceborne Synthetic Aperture Radar Remote Sensing
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Author : Shashi Kumar
language : en
Publisher: CRC Press
Release Date : 2023-03-31

Spaceborne Synthetic Aperture Radar Remote Sensing written by Shashi Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.


This book provides basic and advanced concepts of synthetic aperture radar (SAR), PolSAR, InSAR, PolInSAR, and all necessary information about various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place. It will help readers to use active microwave imaging sensor-based information in geospatial technology and applications. This book: Covers basic and advanced concepts of synthetic aperture radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere, including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for aboveground forest biomass retrieval, as well as InSAR and PolSAR for snow parameters retrieval This book is aimed at researchers and graduate students in remote sensing, photogrammetry, geoscience, image processing, agriculture, environment, forestry, and image processing.



Intelligent Systems


Intelligent Systems
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Author : Amit Sheth
language : en
Publisher: Springer Nature
Release Date : 2021-07-21

Intelligent Systems written by Amit Sheth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Technology & Engineering categories.


This book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.