Produktbild: Signal and Image Processing for Remote Sensing

Signal and Image Processing for Remote Sensing

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Portrait

Prof. C.H. Chen received his Ph. D in electrical engineering from Purdue University West Lafayette, Indiana, in 1965, his MSEE from the University of Tennessee, Knoxville, in 1962, and his BSEE from the National Taiwan University, Taipei in 1959. He is currently the chancellor professor emeritus of electrical and computer engineering at the University of Massachusetts Dartmouth, where he has been a faculty member since 1968. His research areas encompass statistical pattern recognition and signal/image processing with applications to remote sensing, medical imaging, geophysical, underwater acoustics, and nondestructive testing problems, as well as computer vision for video surveillance, time-series analysis, and neural networks. He has edited and authored 37 books in his areas of research, including Digital Waveform Processing and Recognition (CRC Press 1982), Signal and Image Processing for Remote Sensing (CRC Press, first edition 2006, second edition 2012), and Compressive Sensing of Earth Observations (CRC Press 2017). He served as associate editor of the IEEE Transactions on Acoustic, Speech, and Signal Processing for 4 years, associate editor of the IEEE Transactions on Geoscience and Remote Sensing for 15 years, and since 2008 he has been a board member/associate editor of Pattern Recognition particularly on remote sensing topics. Dr. Chen has been a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) since 1988, a Life Fellow of the IEEE since 2003, and a Fellow of the International Association of Pattern Recognition (IAPR) since 1996. He is also the editor of the book series entitled Signal and Image Processing of Earth Observations, for CRC Press.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.06.2026

Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster, schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss

Herausgeber

C.H. Chen

Verlag

Taylor and Francis

Seitenzahl

414

Maße (L/B/H)

25,4/17,8/2,2 cm

Gewicht

800 g

Auflage

3. Auflage

Sprache

Englisch

ISBN

978-1-03-246509-8

Portrait

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.06.2026

Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster, schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss

Herausgeber

C.H. Chen

Verlag

Taylor and Francis

Seitenzahl

414

Maße (L/B/H)

25,4/17,8/2,2 cm

Gewicht

800 g

Auflage

3. Auflage

Sprache

Englisch

ISBN

978-1-03-246509-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Signal and Image Processing for Remote Sensing
  • PART I General Topics

    Chapter 1 A Brief Overview of 60 Years of Progress on Signal/Image Processing for

    Remote Sensing

    C.H. Chen

    Chapter 2 Proven Approaches of Using Innovative High¿Performance Computing

    Architectures in Remote Sensing

    Rocco Sedona, Gabriele Cavallaro, Morris Riedel, and Jon Atli Benediktsson

    PART II Signal Processing for Remote Sensing

    Chapter 3 Machine Learning Techniques for Geophysical Parameter Retrievals

    Adam B. Milstein, Michael Pieper, and William J. Blackwell

    Chapter 4 Subsurface Inverse Profiling and Imaging Using Stochastic Optimization Techniques

    Maryam Hajebi and Ahmad Hoorfar

    Chapter 5 Close and Remote Ground Penetrating Radar Surveys via Microwave Tomography: State of Art and Perspectives

    Gianluca Gennarelli, Giuseppe Esposito, Giovanni Ludeno,

    Francesco Soldovieri, and Ilaria Catapano

    Chapter 6 Polarimetric SAR Signature of Complex Scene: A Simulation Study

    Kun¿Shan Chen, Cheng¿Yen Chiang, and Ying Yang

    Chapter 7 Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual¿Polarimetric SAR Data

    Katalin Blix, Martine M. Espeseth, and Torbjorn Eltoft

    Chapter 8 Riemannian Clustering of PolSAR Data Using the Polar Decomposition

    Madalina Ciuca, Gabriel Vasile, Marco Congedo, and Michel Gay

    Chapter 9 Seismic Velocity Picking Using Hopfield Neural Network

    Kou¿Yuan Huang and JiäRong Yang

    Chapter 10 Expanded Radial Basis Function Network with Proof of Hidden Node Number by Recurrence Relation for Well Log Data Inversion

    Kou¿Yuan Huang, Liang¿Chi Shen, Jiun¿Der You, and Li¿Sheng Weng

    PART III Image Processing for Remote Sensing

    Chapter 11 Convolutional Neural Networks Meet Markov Random Fields for Semantic Segmentation of Remote Sensing Images

    Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, and Josiane Zerubia

    Chapter 12 Deep Learning Methods for Satellite Image Super¿Resolution

    Diego Valsesia and Enrico Magli

    Chapter 13 Machine Learning in Remote Sensing

    Ronny Hansch

    Chapter 14 Robust Training of Deep Neural Networks with Weakly Labelled Data

    Gianmarco Perantoni and Lorenzo Bruzzone

    Chapter 15 Semantic Segmentation with OTBTF and Keras

    Remi Cresson

    Chapter 16 Performance of a Diffusion Model for Instance Segmentation in Remote Sensing Imagery

    Selin Koles, Sedat Ozer, and C.H. Chen

    Chapter 17 Land Cover Classification Using Attention¿Based Multi¿Modal Image Fusion: An Explainable Analysis

    Oktay Karakus, Wanli Ma, and Paul L. Rosin

    Chapter 18 FPGA Compressive Sensing Method Applied to Hyperspectral ImageryJose Nascimento and Mario Vestias

    Chapter 19 Large¿Scale Fine¿Grained Change Detection from Multisensory Satellite Images

    Andrea Garzelli and Claudia Zoppetti

    Chapter 20 Change Detection on Graphs: Exploiting Graph Structure from Bi¿temporal Satellite Imagery

    Juan F. Florez¿Ospina, Hernan D. Benitez¿Restrepo, and David A. Jimenez¿Sierra

    Chapter 21 Target Detection in Hyperspectral Imaging Using Neural Networks

    Edisanter Lo and Emmett Ientilucci