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Remote Sensing of Landscapes with Spectral Images

Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models to bridge;

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Remote Sensing Of Landscapes With Spectral Images

Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models to bridge;

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Spectral Mixture for Remote Sensing

linear modelling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral;

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Hyperspectral Remote Sensing

book begins with several chapters on the basic concepts and underlying principles of remote sensing images. It introduces spectral radiometry;

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Hyperspectral Remote Sensing

book begins with several chapters on the basic concepts and underlying principles of remote sensing images. It introduces spectral radiometry;

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Satellite Remote Sensing for Archaeology

. New sensing research is included and illustrated with the inclusion of over 160 satellite images of ancient sites. With a companion;

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Satellite Remote Sensing for Archaeology

. New sensing research is included and illustrated with the inclusion of over 160 satellite images of ancient sites. With a companion;

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Image Fusion in Remote Sensing

Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are;

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Remote Sensing Imagery

Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle;

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Introduction To Contemporary Remote Sensing

any online entitlements included with the product. A PRACTICAL, FULL-COLOR GUIDE TO REMOTE SENSINGWritten by an internationally renowned;

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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy;

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Hyperspectral Remote Sensing

hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this;

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Remote Sensing of Soil Salinization

Salinization Using Remote and Proximal Sensing - Provides a variety of case studies dealing with soil salinity mapping and monitoring the process;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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Physical Measurements & Signatures in Remote Sensing

Topics covered in this text include: analysis of the relationships between specific properties of a target and its spectral characteristics;

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Physical Measurements & Signiatures in Remote Sensing

Topics covered in this text include: analysis of the relationships between specific properties of a target and its spectral characteristics;

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Remote Sensing of Urban and Suburban Areas

Remote Sensing of Urban and Suburban Areas provides instructors with a text reference that has a logical and easy-to-follow flow of topics;

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Fundamentals of Satellite Remote Sensing

An extensive review of remote sensing principles with an emphasis on environmental applications, Fundamentals of Satellite Remote Sensing;

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Big Data for Remote Sensing: Visualization, Analysis and Interpretation

, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing;

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Remote Sensing of Plant Biodiversity

with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree;

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Remote Sensing

art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded;

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Using Remote Sensing in State and Local Government

associated with the application of remote sensing data in the public sector including approaches and procedures for government agencies to use such;

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Distributed Processing of Large Remote Sensing Images Using Mapreduce

of Landsat images were performed with the Hadoop framework. The findings demonstrate that MapReduce has a potential for scaling large-scale remotely;

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Radiative Transfer in Coupled Environmental Systems

in coupled media such as the atmosphere-ocean system with Lambertian as well non-Lambertian reflecting surfaces at the lower boundary. The spectral;

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Coherent Fields and Images in Remote Sensing

Coherent fields and images can provide significant information about remote objects in a variety of practical ways. This volume considers;

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Introduction to Remote Sensing

. Illustrated with remotely sensed color images from satellites and aircraft, it also outlines data acquisition and analysis. New to this edition;

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