Titlebook: Remote Sensing Image Processing; Gustavo Camps-Valls,Devis Tuia,Jesús Malo Book 2012 Springer Nature Switzerland AG 2012

果园

书目名称Remote Sensing Image Processing影响因子(影响力)




书目名称Remote Sensing Image Processing影响因子(影响力)学科排名




书目名称Remote Sensing Image Processing网络公开度




书目名称Remote Sensing Image Processing网络公开度学科排名




书目名称Remote Sensing Image Processing被引频次




书目名称Remote Sensing Image Processing被引频次学科排名




书目名称Remote Sensing Image Processing年度引用




书目名称Remote Sensing Image Processing年度引用学科排名




书目名称Remote Sensing Image Processing读者反馈




书目名称Remote Sensing Image Processing读者反馈学科排名

Corroborate

Gustavo Camps-Valls,Devis Tuia,Luis Gómez-Chova,Sandra Jiménez,Jesús Malotions are based on unique cases of self-organizing systems: galaxies, planetary systems, and single planets or comets. General biological principles—such as those of immunology (where one needs to explain the emergence of immunity toward ever-new viruses)—have to be applicable to each and every, kno

毛细血管

uantum chemistry because most chemical reactions are observed in solution. In this section, several topics are discussed concerning electrons in molecular liquids that are fundamental problems in describing chemical reactions in solution. First, intermolecular potentials are examined. It is shown th

彻底检查

synchronous

The Statistics of Remote Sensing Images,of spatial, spectral and spatial-spectral redundancy is analyzed in detail through illustrative examples in real remote sensing images. The statistical behavior presented here is key in applications such as coding or restoration of remote sensing imagery.

JAMB

Remote Sensing Feature Selection and Extraction,y applications: from the posterior image segmentation and object location, to properly estimate physical variables from the images. A wide range of standard techniques have been adopted by the remote sensing community but, at the same time, many of them have been necessarily adapted to the particula

植物学

推测

Estimation of Physical Parameters,ges. The number and accuracy of current methods (either physically-based inversion, statistical methods or combined approaches) has made possible the prediction of atmospheric parameters, crop characteristics, and ocean state.

synovial-joint

Remote Sensing Feature Selection and Extraction,r features of images. In addition, the issue of extracting physically-meaningful features from images is an active field. We will review the main contributions in the area through an extensive literature review and real examples.

Psychogenic

Classification of Remote Sensing Images,ed in the field. After the definition of the classification problem (Section 4.1.1), the main classification tasks will be presented in sections 4.2 to 4.4. Finally, Section 4.5 discusses the new challenges to be confronted in these fields, including representativeness and adaptation of classifiers.