首页|The track, hotspot and frontier of international hyperspectral remote sensing research 2009-2019-- A bibliometric analysis based on SCI database
The track, hotspot and frontier of international hyperspectral remote sensing research 2009-2019-- A bibliometric analysis based on SCI database
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NSTL
Elsevier
Hyperspectral remote sensing is widely used in earth observation and environmental survey. However, the research on the development, applications and hot spots of hyperspectral remote sensing is very limited. Metadata taken from 4122 literature records is used to visualize the state of hyperspectral remote sensing research. The records were published between 2009 and 2019, and Citespace software is employed to visualize key data about the research contained on the SCI and SSCI platform. It has the following findings. In recent 10 years, hyperspectral remote sensing related research literature has shown a trend of rapid growth. There are more publications in China, the United States, Germany, and other countries, and the publishing institutions are mostly concentrated in the universities of various countries. Remote Sensing of Environment and IEEE journals are authoritative journals in this field. Anatoly Gitelson, Camps-valls, Asner GP and other authors have made important contributions to basic research. The highly cited documents of hyperspectral remote sensing are distributed in the research directions of spectral imaging technology, support vector machine, and spectral data classification, and 12 research clusters are formed, such as vegetation research, data feature extraction, SVM classification, and de-mixing algorithm. The research hotspots in this field are mainly in image classification, algorithm model, spectral resolution/reflectance and vegetation analysis. The research frontiers include spectral characteristics and reflectance, end element extraction, radar and data dimension reduction, UAV and so on. The development of hyperspectral remote sensing technology promotes the cross research in the fields of environment, ecology, chemistry, computer and so on.
NSTL
Elsevier
