Advanced Image Processing Techniques (90 results)

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Soft cover. Condition: New. Language:Chinese.Author:XIN HUA JIAO YU (BEI JING)YAN JIU YUAN.Binding:Soft cover.Publisher:Electronic Industry Press; 1 edition (June 1. 2009.

Taschenbuch. Condition: Neu. Neuware -Texture is one of the most important features for classifying and recognizing objects and scenes, and can be characterized by local variations in pixel values that are repeated regularly or randomly throughout the object or image. Several methods for classifying images using texture features have been proposed in the literature. However, there is no generic method or formal approach that is useful for a wide variety of images. Texture refers to a visual pattern that has some homogeneous properties that are not simply the result of color or intensity. Unlike other characteristics (brightness, color), texture cannot be defined on a single pixel, but rather across a region or set of pixels. The three main approaches used in image classification to describe textures are statistical, structural and spectral, which are presented in this paper.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

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Taschenbuch. Condition: Neu. Neuware -Since the traditional hard classifiers are parametric in nature and expect the data to follow a Gaussian distribution, they perform poorly on high resolution satellite images in which land features and classes exhibit extensive overlapping in spectral space. Further, integrating ancillary data like digital elevation model, slope, texture, contextual information, etc. into spectral bands is difficult in such classifiers, because ancillary data results in a non-Gaussian distribution of the resultant data. Hence, generating a satisfactory classified image from the higher spectral and spatial, and high-dimensional data is one of the present-day challenges in RS data analysis. This thesis is aimed at developing an advanced classification strategy by integrating a non-parametric J4.8 decision tree classification algorithm and a texture based image classification approach on a panchromatic sharpened IRS P-6 LISS-IV (2.5m) imagery. Attempt has also been made to provide answers through empirical studies to some of the dubious issues and contradictory findings in RS image classification with regard to image evaluation metrics, statistical feature selection criteria and border-effect.Books on Demand GmbH, Überseering 33, 22297 Hamburg 260 pp. Englisch.

Taschenbuch. Condition: Neu. Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The research activities, described in this book, have been mainly focused on images analysis and quality enhancement. Specifically the research regards the study and development of algorithms for color interpolation, contrast enhancement and red-eye removal, which have been exclusively oriented to mobile devices. Furthermore an images analysis for forgeries identification and image enhancement, usually directed by investigators (Forensic Image Processing) has been conducted. The book is organized in three main parts: Image Processing for Embedded Devices, which regards algorithms usually invisible to the final user; Image Analysis and Enhancement, algorithms used to perform a visual improvement of the final picture; Forensics Image Processing, approaches oriented to speed up investigators work.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becoming more readily available. This widespread availability of enormous amounts of data has necessitated the development of efficient data processing techniques for a wide variety of applications. In particular, great strides have been made in the development of digital image processing techniques for remote sensing data. The goal has been efficient handling of vast amounts of data, fusion of data from diverse sensors, classification for image interpretation, and development of user-friendly products that allow rich visualization. This book presents some new algorithms that have been developed for high dimensional datasets, such as multispectral and hyperspectral imagery. The contents of the book are based primarily on research carried out by some members and alumni of the Sensor Fusion Laboratory at Syracuse University.

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paperback. Condition: New. Paperback. Pub Date: 2011 Pages: 425 Language: English Publisher: Electronic Industry Press Photoshop CS4 image processing application techniques (with CD-ROM 1) from Photoshop CS4 in image processing and graphic design (advertising design. practical application in the packaging and book design). Beginners Getting Started Learning the basics. application examples to improve the software operation skills. professional design examples to enhance the design level writing structure. comprehensive.