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SVM and SAM classifiers for the lithological mapping using Hyperion data in parts of Gadag schist belt of western Dharwar craton, Karnataka, India were used. The main objective of the present study is to assess and compare the potential use of Hyperion data set for lithological mapping. Accuracy assessment of the derived thematic maps was based on the analysis of the confusion matrix statistics computed...
For the restriction of the air, sensor and kinds of natural conditions, satellites can't get enough remote sensing data to meet the needs of scientific research, especially for the western mountainous area. This study reconstructed the TM images of Guizhou mountainous areas to achieve their hyperspectral images based on UPDM analysis, and classified the hyperspectral images for vegetation information...
In vegetation spectroscopy, compositional information of leaves contained at band level or across the electromagnetic spectrum (EMS) and parts thereof, plays a huge rule in the analysis of spectra and their relations to the reflectance patterns across the spectrum. Spectral matching is often achieved by means of matching algorithms such as the Spectral Angle Mapper (SAM), Spectral information divergence...
Current land use and cover (LUC) mapping is often made using high resolution images such as those from the Landsat TM/ETM+, SPOT, IKONOS, QuickBird sensors etc. However, the historical LUC information was often extracted from the earlier Landsat MSS images. Resultant land cover classification accuracy is often unsatisfactory for quantitative change analysis due to the limited number of spectral bands...
Selecting feature genes for disease prediction is one of the most important applications of microarray technology. However, gene lists obtained in different studies for a same clinical type of patients often differ widely and have few genes in common. Recent researches suggest that gene lists ranked by fold change are more reproducible than by t-test. Here, based on the resampling method, we use training...
The objective of this work is to find the best metric to ignore the variations of soil reflectance induced by the solar-view angles geometry. Differences between spectra measured for the same soil under different observation and illumination configurations can leads to misclassifications. Using ninety two soils of different composition measured under twenty eight solar- view angles geometries, we...
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