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Ideal for those with no programming experience.
1 : Introduction -- 2 : Fundamentals of IDL Syntax -- 3 : Writing IDL Programs -- 4 : Input and Output -- 5 : Direct Graphics -- 6 : Plotting Data -- 7 : Displaying Images -- 8 : Creating Graphical Output -- 9 : Graphical User Interfaces (GUIs) -- Appendix A : IDL on the Internet -- Appendix B : Mathematical Routines -- Appendix C : Widget Event Structures -- Appendix D : Widget Properties -- Appendix E : Graphics Device Properties.
"Java Programming with CORBA" - jetzt erscheint der Bestseller in der 3. aktualisierten und erweiterten Auflage. Anerkannte Experten zeigen anhand fortgeschrittener Techniken und Beispielen aus der Praxis, wie man einfache und komplexe Javaprogramme mit CORBA entwirft. Zunächst geben sie einen kurzen Überblick über CORBA, Java, Oject Request Brokers (ORBs) und EJB Komponenten und erläutern dann, wie man diese Technologien einsetzt, um komplette Java-Anwendungen zu entwickeln. Diese Neuauflage wurde um 50% neues Material erweitert, um den Neuerungen der kürzlich erschienenen 3. Version von CORBA Rechnung zu tragen. Topaktuelle Themen, wie z.B. Portabel Object Adaptor (POA), Remote Method Innovation (RMI) over IIOP und EJB werden ausführlich diskutiert. Mit einer Fülle detaillierter Codebeispiele. Der unverzichtbare Leitfaden für jeden Java-Entwickler und -Programmierer.
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition introduces techniques used in the processing of remote sensing digital imagery. It emphasizes the development and implementation of statistically motivated, data-driven techniques. The author achieves this by tightly interweaving theory, algorithms, and computer codes. See What’s New in the Third Edition: Inclusion of extensive code in Python, with a cloud computing example New material on synthetic aperture radar (SAR) data analysis New illustrations in all chapters Extended theoretical development The material is self-contained and illustrated with many programming examples in IDL. The illustrations and applications in the text can be plugged in to the ENVI system in a completely transparent fashion and used immediately both for study and for processing of real imagery. The inclusion of Python-coded versions of the main image analysis algorithms discussed make it accessible to students and teachers without expensive ENVI/IDL licenses. Furthermore, Python platforms can take advantage of new cloud services that essentially provide unlimited computational power. The book covers both multispectral and polarimetric radar image analysis techniques in a way that makes both the differences and parallels clear and emphasizes the importance of choosing appropriate statistical methods. Each chapter concludes with exercises, some of which are small programming projects, intended to illustrate or justify the foregoing development, making this self-contained text ideal for self-study or classroom use.
Modern IDL is an opinionated guide to using IDL, including information about recent versions of IDL, advanced topics, and best practices. Modern IDL is also a useful reference guide for both beginners and advanced users, collecting tables and lists of items that are scattered through the online help.
Offering a distinctive approach, this book will teach readers not only how to use COM but how to think in COM. COM can greatly improve the efficiency of applications, but COM fluency is a difficult task. The book is a top resource for developers who need to make the transition from superficial understanding to deep knowledge.