دانلود کتاب خارجی - دانلود رایگان کتاب لاتین PDF علمی

تعداد نتایج: 347

Satellite Image Analysis: Clustering and Classification

By Surekha Borra, Rohit Thanki, Nilanjan Dey
Publisher: Springer, 2019-02-08
Pages: 97
Language: en
ISBN_13:9789811364242
ISBN_10:9811364249
Subject: Technology & Engineering

Clustering Parameters for Multispectral Satellite Image Analysis

جزئیات و درخواست

By Prasad Kaviti
2023-01-15
Language: en
ISBN_10:3545941027
ISBN_13:9783545941021

Image Analysis, Classification and Change Detection in Remote Sensing

With Algorithms for ENVI/IDL and Python, Third Edition

جزئیات و درخواست

By Morton J. Canty
Publisher: CRC Press, 2014-06-06
Pages: 542
Language: en
ISBN_13:9781466570382
ISBN_10:1466570385
Subject: Mathematics

An Overview of Technological Revolution in Satellite Image Analysis

جزئیات و درخواست

By Jenice Aroma R., Kumudha Raimond
Publisher: Infinite Study,
Pages: 5
Language: en

Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection

جزئیات و درخواست

By Cem Ünsalan, Kim L. Boyer
Publisher: Springer Science & Business Media, 2011-05-18
Pages: 189
Language: en
ISBN_13:9780857296672
ISBN_10:0857296671
Subject: Computers

Remote Sensing Digital Image Analysis

An Introduction

جزئیات و درخواست

By John A. Richards
Publisher: Springer Science & Business Media, 2013-04-17
Pages: 297
Language: en
ISBN_13:9783662024621
ISBN_10:3662024624
Subject: Technology & Engineering

Remote Sensing Image Processing

جزئیات و درخواست

By Gustavo Camps-Valls
Publisher: Morgan & Claypool Publishers, 2011
Pages: 195
Language: en
ISBN_13:9781608458196
ISBN_10:1608458199
Subject: Computers

Non-traditional Approaches to Classification of High Resolution Satellite Imagery

جزئیات و درخواست

By Martin Paul Buchheim
1988
Pages: 506
Language: en
OTHER:WISC:89015944127

Remote Sensing Image Processing

جزئیات و درخواست

By Gustavo Camps-Valls, Devis Tuia, Luis Gómez-Chova, Sandra Jiménez, Jesus Malo
Publisher: Springer Nature, 2022-06-01
Pages: 242
Language: en
ISBN_13:9783031022470
ISBN_10:3031022475
Subject: Technology & Engineering

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

$This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.$

جزئیات و درخواست

By Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar
Publisher: CRC Press, 2020-07-19
Pages: 194
Language: en
ISBN_13:9781000091526
ISBN_10:100009152X
Subject: Computers

Artificial Intelligence Techniques for Satellite Image Analysis

جزئیات و درخواست

By D. Jude Hemanth
Publisher: Springer Nature, 2019-11-13
Pages: 274
Language: en
ISBN_13:9783030241780
ISBN_10:3030241785
Subject: Computers

Techniques for Image Processing and Classifications in Remote Sensing

جزئیات و درخواست

By Robert A. Schowengerdt
Publisher: Academic Press, 2012-12-02
Pages: 270
Language: en
ISBN_13:9780323138550
ISBN_10:0323138551
Subject: Technology & Engineering

Satellite Image Classification - a Guided Clustering Approach

Use of Unsupervised Classification for Complementing the Res...

جزئیات و درخواست

By Naeem Shahzad, Sajid Iqbal, Asim Daud
Publisher: LAP Lambert Academic Publishing, 2013
Pages: 52
Language: en
ISBN_10:3659454931
ISBN_13:9783659454936

Machine Vision and Advanced Image Processing in Remote Sensing

Proceedings of Concerted Action MAVIRIC (Machine Vision in R...

جزئیات و درخواست

By Ioannis Kanellopoulos, Graeme G. Wilkinson, Theo Moons
Publisher: Springer Science & Business Media, 2012-12-06
Pages: 339
Language: en
ISBN_13:9783642601057
ISBN_10:3642601057
Subject: Science

Evaluation of Automated Imagery Analysis Algorithms for Use in the Three-dimensional Nephanalysis Model at AFGWC

$Two different imagery analysis algorithms, one of which is currently in use by the 3DNEPH automated cloud analysis program at the Air Force Global Weather Central (AFGWC), and the other developed at AFGL, were evaluated and compared on a sample set of DMSP IR data (10.2 to 12.8 micrometers) with the aid of the AFGL Man-computer Interactive Data Access System. The 3DNEPH algorithm, MODAL, and the AFGL algorithm, CLUSTER, were designed to separate cloud layers in IR satellite imagery. Such information is used by the 3DNEPH to compute cloud analysis parameters as percent cloud (earth) coverage and cloud heights. Both algorithms were found to perform well under some meteorological circumstances, but not so well under others. In general, however, it was found that CLUSTER performs better. The CLUSTER algorithm found clear/cloud boundaries, numbers of cloud layers, and fractional cloud covers that are closer to estimates made by analysts looking at corresponding IR and visible images. The MODAL algorithm found more cloud layers than were observed, and tended to overanalyze the transition regions between cloud layers. The AFGWC has recognized the limitations of MODAL and the complications in its computer code. Subsequently, a substantially revised version of the 3DNEPH has been written, and is known as the Real-Time Nephanalysis (RTNEPH).$

Free Epub

جزئیات و درخواست

By Robert Paul D'Entremont
1982
Pages: 44
Language: en
OTHER:UOM:39015095143593
Subject: Cirrus clouds

Signal and Image Processing for Remote Sensing

جزئیات و درخواست

By C.H. Chen
Publisher: CRC Press, 2024-06-11
Pages: 433
Language: en
ISBN_13:9781040031254
ISBN_10:1040031250
Subject: Technology & Engineering

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Digital Earth and Smart Earth

جزئیات و درخواست

By Nilanjan Dey, Chintan Bhatt, Amira S. Ashour
Publisher: Springer, 2018-05-23
Pages: 154
Language: en
ISBN_13:9783319899237
ISBN_10:3319899236
Subject: Science

Multispectral Image Analysis Using the Object-Oriented Paradigm

جزئیات و درخواست

By Kumar Navulur
Publisher: CRC Press, 2006-12-05
Pages: 206
Language: en
ISBN_13:9781420043075
ISBN_10:1420043072
Subject: Technology & Engineering

Advances in Intelligent Systems and Computing V

Selected Papers from the International Conference on Compute...

جزئیات و درخواست

By Natalya Shakhovska, Mykola O. Medykovskyy
Publisher: Springer Nature, 2020-12-22
Pages: 1190
Language: en
ISBN_13:9783030632700
ISBN_10:3030632709
Subject: Technology & Engineering

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

IOT, Data Science and Artificial Intelligence Technologies

جزئیات و درخواست

By Pradeep Kumar Singh, Sławomir T. Wierzchoń, Wiesław Pawłowski, Arpan Kumar Kar, Yugal Kumar
Publisher: Springer Nature, 2023-08-23
Pages: 386
Language: en
ISBN_13:9783031357831
ISBN_10:3031357833
Subject: Computers

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