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Kernel Methods for Remote Sensing Data Analysis

, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection;

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Remote Sensing Digital Image Analysis

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation;

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Techniques and Methods in Urban Remote Sensing

opportunities for combining ever-increasing computational power, more plentiful and capable data, and more advanced algorithms. This allows the;

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Cloud Computing in Remote Sensing

performance remote sensing data processing Covers distributed remote sensing products analysis;

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Remote Sensing and GIS Integration

remotely sensed data GIS is predominantly a data-handling technology, while remote sensing is a data retrieval and analysis technology. This;

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Optical Remote Sensing of Land Surface

The considerable progress in instrumentation and in the development of methods for the processing and analysis of data places remote;

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Remote Sensing and Cognition

in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge;

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Remote Sensing and Cognition: Human Factors in Image Interpretation

in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge;

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Remote Sensing For Biodiversity And Wildlife Management

methods for acquiring, interpreting, and analyzing remotely sensed data Habitat suitability and quality analysis Mapping anthropogenic;

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Remote Sensing Applications in Environmental and Earth System Sciences

the types of data that can be used as well as the image processing and analysis methods that can be applied to each type of application;

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Environmental Modelling with GIS and Remote Sensing

capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS;

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Remote Sensing for Sustainability

Plan by addressing and exemplifying a number of societal benefit areas of remote sensing data sets, methods, and techniques for sustainable;

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Hyperspectral Remote Sensing

processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection Provides an overview of the state;

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Re-envisioning Remote Sensing Applications

Provide the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land;

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Scale Issues in Remote Sensing

existing technologies) and advances in remote sensing imaging science (object-oriented image analysis and data fusion) * Prospects emerging and;

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Remotely Sensed Data Characterization, Classification, and Accuracies

A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the;

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Environmental Modelling with GIS and Remote Sensing

capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS;

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Remote Sensing Applications for the Urban Environment

capacities, the use of remote sensing data to characterize urban extent and urban land cover, and the applications of satellite-derived data for;

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Remote Sensing Applications for the Urban Environment

capacities, the use of remote sensing data to characterize urban extent and urban land cover, and the applications of satellite-derived data for;

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Simulation of the Sea Surface for Remote Sensing

interpretation of remote sensing data requires detailed information about the rough surface that forms the reflected signal. The first three chapters;

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Simulation of the Sea Surface for Remote Sensing

interpretation of remote sensing data requires detailed information about the rough surface that forms the reflected signal. The first three chapters;

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Analysis Of Multi-temporal Remote Sensing Images - Proceedings Of The First International Workshop On Multitemp 2001

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that;

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Global Positioning & Remote Sensing

; Hydrogeomorphological Mapping for Groundwater Prospects Using Remote Sensing Data: A Case Study of a Part of Bhind District, Madhya Pradesh; Application of GIS;

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The Remote Sensing Data Book

The Remote Sensing Data Book provides a unique resource of all aspects of remote sensing for the expert and non-expert alike. Organised as;

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The Remote Sensing Data Book

The Remote Sensing Data Book provides a unique resource of all aspects of remote sensing for the expert and non-expert alike. Organised as;

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Environmental Remote Sensing and Systems Analysis

Remote sensing is the technique of gathering data and information about an object or phenomenon without making direct contact with the;

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Fundamentals of Satellite Remote Sensing

text focuses on the interpretation and analysis of remote sensing images and how they improve our understanding of environmental processes and;

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