In hyperspectral remote sensing, sensors acquire reflectance values at many different wavelength bands, to cover a complete spectral interval. These measurements are strongly correlated and no new information might be added when increasing the spectral resolution. Moreover, the higher number of spectral bands increases the complexity of a classification task. Therefore, feature extraction is a ...

Hyperspectral remote sensing imagery contains much more information in the spectral domain than does multispectral imagery. The consecutive and abundant spectral signals provide a great potential for classification and anomaly detection. In this study, two real hyperspectral data sets were used for anomaly detection. One data set was an Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) da...

S PACEBORNE and airborne remote sensors have important applications in environmental monitoring, resource management, disaster response, and homeland security. Remote sensors with different modalities (e.g., multispectral, hyperspectral, optical, infrared, and radar sensors) are now often used together to achieve the optimal outcomes in information mining and scene understanding. Pattern recogn...

Anomaly detection is one of the most popular applications in hyperspectral remote sensing image analysis. Anomaly detection technique does not require any prior features or information of targets of interest and has draw the increasing interest in target detection domain for hyperspectral imagery (HSI) in the recent twenty years. From hyperspectral data, the approximately continuous spectral fe...

Monitoring nitrogen concentration of oilseed rape from hyperspectral data using radial basis function Fumin Wang, Jingfeng Huang, Yuan Wang, Zhuanyu Liu, Dailiang Peng & Feifeng Cao a Institute of Hydrology and Water Resources, Zhejiang University, Hangzhou, China b Institute of Agricultural Remote Sensing & Information Application, Zhejiang University, Hangzhou, China c Institute of Remote Sen...

The cirrus clouds are a sort of transparent clouds that are barely visible in many satellite images. These clouds form a reflection effect in the images which hide the crucial information in remote sensing. Thus the removal of cirrus effect is essential to have an effective remote sensing over coastal regions and the following proposed algorithms proved to be cirrus-free images. The techniques ...

With the maturation of satellite technology, Hyperspectral Remote Sensing (HRS) platforms have developed from initial ground-based and airborne into spaceborne platforms, which greatly promotes civil application HRS imagery in fields agriculture, forestry, environmental monitoring. China is playing an important role this evolution, especially recent years, with successful launch operation a ser...