Hyperspectral optimization process exemplar, a&bb-based K model, and a water column correction model are used to process the hyperspectral data for detecting the subtle spectral difference of coral reefs. The water c...
This work was supported in part by the National Basic Research Program of China(973 Program)under Grant 2012CB719905 and 2011CB707105;the National Natural Science Foundation of China under Grant 61102128;HuBei Province Natural Science Foundation under Grant No.2011CDB455;China’s Post-doctoral Science Foundation under 211–180,788;the Fundamental Research Funds for the Central Universities under 211-274633.
Hyperspectral images(HSI)provide a new way to exploit the internal physical composition of the land scene.The basic platform for acquiring HSI data-sets are airborne or spaceborne spectral imaging.Retrieving useful in...
supported by the National Basic Research Program of China (2009CB426305);National Natural Science Foundation of China (40971190,40771153);Nurturing Project of Scientific and Technological Innovation Platform,Northeast Normal University (106111065202)
This study is concerned with the need for remote sensing techniques for the monitoring of oil-slick pollution on sea surfaces and the effects of oil-slick pollution on the sea.We used Daqing crude oil,Jilin crude oil,...
supported by the National Basic Research Program of China(Grant Nos.2007CB714406, 2007CB714401,2007CB403507);the National Natural Science Foundation of China(Grant No.40501041);the National Science Foundation of USA(Grant No.0421530)
This paper gives the definition of the high-dimensional cross product and its calculation by extending the 3-D cross product definition into the high-dimensional vector space, Based on the properties of the cross prod...
Supported by the National Key Basic Research and Development Program(No.2006CB701303, No. 2004CB318206)
The texture analysis is often discussed in image processing domain, but most methods are limited within gray-level image or color image, and the present conception of texture is defined mainly based on gray-level imag...
supported by the National Basic Research Program (973) of China (No.2010CB126200);China Postdoctoral Science Foundation Project (No.20090451437)
Detection of crop health conditions plays an important role in making control strategies of crop disease and insect damage and gaining high-quality production at late growth stages. In this study, hyperspectral reflec...
Supported by the Major State Basic Research Development Program (973 Program) of China (No. 2009CB723905);the National High Technology Research and Development Program (863 Program) of China (Nos.2009AA12Z114, 2007AA12Z148, 2007AA12Z181);the National Natural Sci-ence Foundation of China(Nos. 40771139,40523005, 40721001);the Research Fund for the Doctoral Program of Higher Education of China(No.200804861058);the Foundation of National Laboratory of Pattern Recognition
Clonal selection feature selection algorithm (CSFS) based on clonal selection algorithm (CSA), a new computational intelligence approach, has been proposed to perform the task of dimensionality reduction in high-d...
the National Basic Research Program of China (Grant No. 2007CB714403);the National Natural Science Foundation of China (Grant Nos. 40571107 and 40771150);the High Technology Research and Development Project (Grant No.2005AA133011- 3);the Program for Changjiang Scholars and Innova-tive Research Team in University
The existing methods in atmospheric correction of hyperspectral data usually focus on removing the effects of water vapor and other absorptive gases, while this paper mainly studies the method of re- moving the influe...
To improve the performance of the multiple classifier system, a new method of feature-decision level fusion is proposed based on knowledge discovery. In the new method, the base classifiers operate on different featur...
This project was supported by the National Basic Research Programof China (2001CB309403)
To improve the performance of multiple classifier system, a knowledge discovery based dynamic weighted voting (KD-DWV) is proposed based on knowledge discovery. In the method, all base classifiers may be allowed to ...