55% new material in the latest edition of this "must-have for students and practitioners of image & video processing!This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. • Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms • Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula • Covers the various image and video processing standards that exist and are emerging, driving today's explosive industry • Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived • Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data • Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader's own potential applications About the Editor... Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.* No other resource for image and video processing contains the same breadth of up-to-date coverage* Each chapter written by one or several of the top experts working in that area* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various, image-intensive disciplines

Geomatics is a neologism, the use of which is becoming increasingly widespread, even if it is not still universally accepted. It includes several disciplines and te- niques for the study of the Earth’s surface and its environments, and computer science plays a decisive role. A more meaningful and appropriate expression is G- spatial Information or GeoInformation. Geo-spatial Information embeds topography in its more modern forms (measurements with electronic instrumentation, sophisticated techniques of data analysis and network compensation, global satellite positioning techniques, laser scanning, etc.), analytical and digital photogrammetry, satellite and airborne remote sensing, numerical cartography, geographical information systems, decision support systems, WebGIS, etc. These specialized elds are intimately interrelated in terms of both the basic science and the results pursued: rigid separation does not allow us to discover several common aspects and the fundamental importance assumed in a search for solutions in the complex survey context. The objective pursued by Mario A. Gomarasca, one that is only apparently modest, is to publish an integrated text on the surveying theme, containing simple and comprehensible concepts relevant to experts in Geo-spatial Information and/or speci cally in one of the disciplines that compose it. At the same time, the book is rigorous and synthetic, describing with precision the main instruments and methods connected to the multiple techniques available today.

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.

This book contains seven parts. The first part deals with some aspects of rainfall analysis, including rainfall probability distribution, local rainfall interception, and analysis for reservoir release. Part 2 is on evapotranspiration and discusses development of neural network models, errors, and sensitivity. Part 3 focuses on various aspects of urban runoff, including hydrologic impacts, storm water management, and drainage systems. Part 4 deals with soil erosion and sediment, covering mineralogical composition, geostatistical analysis, land use impacts, and land use mapping. Part 5 treats remote sensing and geographic information system (GIS) applications to different hydrologic problems. Watershed runoff and floods are discussed in Part 6, encompassing hydraulic, experimental, and theoretical aspects. Water modeling constitutes the concluding Part 7. Soil and Water Assessment Tool (SWAT), Xinanjiang, and Soil Conservation Service-Curve Number (SCS-CN) models are discussed. The book is of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management find the book to be of value.

This book deals with the basic concepts of GIS and optimization. It provides an overview of various integration protocols that are termed GIS-O integration strategies applied to practical applications. It also develops an integration approach for the vehicle routing problem with resource and distance requirements and approves it with numerical resu

Die Cordillera Central der Dominikanischen Republik ist eine Quelle wichtiger natürlicher Ressourcen – vor allem Wasser – für dieses karibische Land. Im oberen Einzugsgebiet des Río Yaque del Norte wurde im Laufe des 20. Jahrhunderts ein großer Teil der natürlichen Wälder abgeholzt und durch Weide- und Ackerland sowie Sekundärvegetation ersetzt. Entwaldung und nicht nachhaltige Landnutzung auf den steilen Hängen dieses Gebietes haben zu Erosion und Landdegradierung geführt. Es gibt aber auch noch verschiedene primäre Bergwälder, darunter kleine Nebelwaldbereiche mit bedrohten endemischen Arten. Fernerkundungsdaten sind eine unverzichtbare Quelle für flächendeckende räumliche Informationen, die als Basis für Raumnutzungspläne und den Schutz bedrohter Ökosysteme benötigt werden. Die Nutzbarkeit von Satellitendaten mittlerer Auflösung (z.B. Landsat) für die Kartierung der Vegetationstypen des Untersuchungsgebietes ist begrenzt, weil das kleinräumige Mosaik verschiedener Landbedeckungstypen (wie in vielen tropischen Gebirgsbereichen) zu einem großen Anteil von Mischpixeln in diesen Daten führt. Die neue Generation kommerzieller hochauflösender Satelliten wie IKONOS (1 m bis 4 m Auflösung) ermöglicht eine detailliertere Kartierung von kleineren Interessensgebieten, aber die automatische Klassifizierung räumlich hochaufgelöster Daten beinhaltet auch neue Herausforderungen. Diese Arbeit beschäftigt sich daher hauptsächlich mit der Optimierung von Methoden zur Ausnutzung der räumlichen Information in hochauflösenden Satellitendaten für die Kartierung von tropischen Bergwäldern und anderen Landoberflächen.