Classification methods for remotely sensed data / Taskin Kavzoglu, Brandt Tso, and Paul M. Mather.
"The third edition of the bestselling Classification Methods for Remotely Sensed Data covers recent developments in the optimization of existing and new algorithms and presents new analysis tools and metrics together with ongoing debates on accuracy assessment strategies and metrics that did no...
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Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2025.
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| Edition: | Third edition. |
| Subjects: |
MARC
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| 100 | 1 | |a Kavzoglu, Taskin, |e author. | |
| 245 | 1 | 0 | |a Classification methods for remotely sensed data / |c Taskin Kavzoglu, Brandt Tso, and Paul M. Mather. |
| 250 | |a Third edition. | ||
| 263 | |a 2408 | ||
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c 2025. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
| 500 | |a Revised edition of: Classification methods for remotely sensed data / Brandt Tso, Paul M. Mather. 2nd ed. 2009. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "The third edition of the bestselling Classification Methods for Remotely Sensed Data covers recent developments in the optimization of existing and new algorithms and presents new analysis tools and metrics together with ongoing debates on accuracy assessment strategies and metrics that did not exist 10 years ago. It is thoroughly updated and provides four new chapters on object-based image analysis, a new paradigm in image processing and classification. In object-based image analysis, hyperparameter optimization techniques are used to ensure that the highest possible accuracy is achieved by the algorithm"-- |c Provided by publisher. | ||
| 588 | |a Description based on print version record and CIP data provided by publisher; resource not viewed. | ||
| 545 | 0 | |a Professor Taskin Kavzoglu is a senior researcher in remote sensing with more than 25 years of research experience in Earth observation/remote sensing. He has published more than 150 papers in peer-reviewed journals and international conference proceedings. He received his M.Sc. in Geographical Information Systems and Ph.D. in Remote Sensing from Nottingham University, UK. Currently, he is a professor at Gebze Technical University, Turkey and a member of Turkish Academy of Sciences. He was awarded an ESRI project award in 2019 and best paper award by American Society for Photogrammetry and Remote Sensing (ASPRS) in 2020. He currently serves on the editorial boards of several international journals. Dr. Brandt Tso is a retired scientist in Taiwan. He received his Ph.D. degree from the School of Geography, The University of Nottingham, U.K., under the supervision of Professor Paul M. Mather. In 2003, Dr. Tso was a postdoctoral fellow at the Remote Sensing Laboratory, Physics Department, Naval Postgraduate School, Monterey, California, U.S.A. Dr. Tso was an associate professor in the information science department, Management College, National Defense University, Taiwan. He has published numerous research papers. Professor Paul M. Mather (Deceased) graduated from the University of Cambridge in 1966 and in 1969 received his Ph.D. from The University of Nottingham, UK. where he continued as a lecturer, senior lecturer, and full professor from 1988 until he retired in 2006 as an Emeritus Professor. He received the Back Award from the Royal Geographical Society for his work in remote sensing in 1992, and in 2002 was awarded the Order of the British Empire (OBE) by Her Majesty Queen Elizabeth II for services to remote sensing. He lectured in a number of countries around the world. | |
| 650 | 0 | |a Remote sensing. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 700 | 1 | |a Tso, Brandt, |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjC3XmgqY7BpXWrwQbByYd | |
| 700 | 1 | |a Mather, Paul M., |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjy7VFVrp9WDRgyFPrYmq3 | |
| 776 | 0 | 8 | |i Print version: |a Kavzoglu, Taskin. |t Classification methods for remotely sensed data |b Third edition. |d Boca Raton, FL : CRC Press, 2025 |z 9781032573939 |w (DLC) 2024008647 |
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