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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 describes how to process and interpret spectral images using physical models to bridge;
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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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book begins with several chapters on the basic concepts and underlying principles of remote sensing images. It introduces spectral radiometry;
Vergelijkbare producten zoals Hyperspectral Remote Sensing
book begins with several chapters on the basic concepts and underlying principles of remote sensing images. It introduces spectral radiometry;
Vergelijkbare producten zoals Hyperspectral Remote Sensing
. New sensing research is included and illustrated with the inclusion of over 160 satellite images of ancient sites. With a companion;
Vergelijkbare producten zoals 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;
Vergelijkbare producten zoals Satellite Remote Sensing for Archaeology
Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are;
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Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle;
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any online entitlements included with the product. A PRACTICAL, FULL-COLOR GUIDE TO REMOTE SENSINGWritten by an internationally renowned;
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classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy;
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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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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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. 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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. 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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Topics covered in this text include: analysis of the relationships between specific properties of a target and its spectral characteristics;
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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 provides instructors with a text reference that has a logical and easy-to-follow flow of topics;
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An extensive review of remote sensing principles with an emphasis on environmental applications, Fundamentals of Satellite Remote Sensing;
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, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing;
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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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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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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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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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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 can provide significant information about remote objects in a variety of practical ways. This volume considers;
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. 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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