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Assessing methods of identifying open water bodies using Landsat 8 OLI imagery SCI/SSCI论文
2016
作者:  Liu Z. F.;  Yao, Z. J.;  Wang, R.
收藏  |  浏览/下载：19/0  |  提交时间：2017/11/09
A DATA FIELD METHOD FOR URBAN REMOTELY SENSED IMAGERY CLASSIFICATION CONSIDERING SPATIAL CORRELATION 会议论文
作者:  Zhang, Y.;  Qin, K.;  Zeng, C.;  Zhang, E. B.;  Yue, M. X.
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/05
Urban boundary extraction and sprawl analysis using Landsat images: A case study in Wuhan, China SCI/SSCI论文
2015
作者:  Hu S. G.;  Tong, L. Y.;  Frazier, A. E.;  Liu, Y. S.
收藏  |  浏览/下载：52/0  |  提交时间：2015/12/09
Finer Resolution Land-Cover Mapping Using Multiple Classifiers and Multisource Remotely Sensed Data in the Heihe River Basin 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 卷号: 8, 期号: 10(SI), 页码: 1007-1022
作者:  Zhong, Bo;  Yang, Aixia;  Nie, Aihua;  Yao, Yanjuan;  Zhang, Hang
收藏  |  浏览/下载：17/0  |  提交时间：2016/04/20
Urban Built-Up Area Extraction from Landsat TM/ETM plus Images Using Spectral Information and Multivariate Texture 期刊论文
remote sens basel, 2014
Zhang, Jun; Li, Peijun; Wang, Jinfei
收藏  |  浏览/下载：6/0  |  提交时间：2015/11/13
Fusion of pan-tropical biomass maps using weighted averaging and regional calibration data SCI/SSCI论文
2014
作者:  Ge Y.
收藏  |  浏览/下载：12/0  |  提交时间：2014/12/24
Integration of case-based reasoning and object-based image classification to classify SPOT images: a case study of aquaculture land use mapping in coastal areas of Guangdong province, China SCI/SSCI论文
2013
Du Y. Y.; Wu D.; Liang F. Y.; Li C.
收藏  |  浏览/下载：10/0  |  提交时间：2014/12/24
On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文
2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China
Xu Y.; Yu P.; Guo B.; Gao X.; Guo Y.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
Mao W.; Yu P.; Guo B.; Xu Y.; Chen H.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.  
Incorporating spectral data into logistic regression model to classify land cover: a case study in Mt. Qomolangma (Everest) National Nature Preserve SCI/SSCI论文
2012
Gao J. G.; Zhang Y. L.
收藏  |  浏览/下载：12/0  |  提交时间：2014/12/25

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