搜索结果: 1-6 共查到“测绘科学技术 hyper spectral”相关记录6条 . 查询时间(0.077 秒)
A DIMENSIONALITY REDUCTION ALGORITHM OF HYPER SPECTRAL IMAGE BASED ON FRACT ANALYSIS
Hyper spectral dimensionality reduction spectral domain fractal analysis feature image
2015/12/30
A dimensionality reduction algorithm based on feature extraction of the spectral curve using fractal analysis which considering both the spatial characteristic and spectral characteristic of hyper spe...
A study on information extraction from hyper spectral image based on samc & epv
Information Extraction Hyper Spectral
2015/8/20
Spectral reflectance in hyper spectral image provides useful information of surface objects. In this paper, two algorithms have been
introduced, and the characteristics of the two main types of algor...
ANOMALY DETECTION IN NOISY MULTI AND HYPER SPECTRAL IMAGES OF URBAN ENVIRONMENTS
Urban Remote-sensing Anomaly detection speckle noise spectral data morphological operation
2015/8/3
The recent surge in remotely sensed imagery with multi to hyper spectral cubes has made it very difficult to detect features because of the sheer volume of data. In a sense it is locating the needle i...
APPLICATION OF HYPER-SPECTRAL DATA FOR FOREST STAND MAPPING
HYPER-SPECTRAL DATA FOREST STAND MAPPING
2015/3/13
APPLICATION OF HYPER-SPECTRAL DATA FOR FOREST STAND MAPPING.
Comparative Analysis of Haar and Daubechies Wavelet for Hyper Spectral Image Classification
Wavelet transform Classification Support Vector Machine (SVM) Airborne Visible Infrared Imaging Spectrometer(AVIRIS)
2014/12/16
With the number of channels in the hundreds instead of in the tens Hyper spectral imagery possesses much richer spectral information than multispectral imagery. The increased dimensionality of such Hy...
Simultaneous Estimation Method of Land Surface Temperature and Emissivity Using Hyper-Spectral Thermal Infrared Observations
T/E separation atmospheric correction optimization radiative transfer AIRS
2010/11/24
This paper proposes a method for simultaneously estimating land surface temperature (LST) and spectral emissivity using hyper-spectral thermal infrared observations. The main approach is finding the v...