In this study,analyses are conducted on the information features of a construction site,a cornfield and subsidence seeper land in a coal mining area with a synthetic aperture radar (SAR) image of medium resolution. Ba...In this study,analyses are conducted on the information features of a construction site,a cornfield and subsidence seeper land in a coal mining area with a synthetic aperture radar (SAR) image of medium resolution. Based on features of land cover of the coal mining area,on texture feature extraction and a selection method of a gray-level co-occurrence matrix (GLCM) of the SAR image,we propose in this study that the optimum window size for computing the GLCM is an appropriate sized window that can effectively distinguish different types of land cover. Next,a band combination was carried out over the text feature images and the band-filtered SAR image to secure a new multi-band image. After the transformation of the new image with principal component analysis,a classification is conducted selectively on three principal component bands with the most information. Finally,through training and experimenting with the samples,a better three-layered BP neural network was established to classify the SAR image. The results show that,assisted by texture information,the neural network classification improved the accuracy of SAR image classification by 14.6%,compared with a classification by maximum likelihood estimation without texture information.展开更多
Inter simple sequence repeat（ISSR） analysis was applied to samples of foxtail millet and its wild ancestor and other close relatives of the genus Setaria in order to detect domestication-related geographical structu...Inter simple sequence repeat（ISSR） analysis was applied to samples of foxtail millet and its wild ancestor and other close relatives of the genus Setaria in order to detect domestication-related geographical structure and phylogenetic relationship of those species.Eighty-one accessions of nine Setaria species that originated from different regions were used in this study.Fourteen out of the 27 ISSR primers screened amplified successfully and a total of 156 markers were scored for all the accessions,with a high level of polymorphism being detected.The dendrogram based on UPGMA cluster analysis showed clear geographic structure among foxtail millet and its wild ancestor green foxtail,which implies that northern China is the domestication center for both the Chinese and European foxtail millet landraces used in this study.This result did not support the hypothesis that China and Europe are independent domestication centers for foxtail millet proposed by several previous studies based on morphological and isozyme data.The dendrogram also clearly classified the Setaria sample used into two groups,a viridis and a pumila groups.The viridis group was composed of S.viridis,S.italica,S.faberii,S.verticillata,S.leucopila,and S.queenslandica,and the pumila group consisted of S.parviflora and S.pumila,which is consistent with the recently proposed hypothesis of multiple origin of Setaria species.The phylogenetic relationships among different species are discussed.展开更多
基金Projects 40771143 supported by the National Natural Science Foundation of China2007AA12Z162 by the Hi-tech Research and Development Program of China
文摘In this study,analyses are conducted on the information features of a construction site,a cornfield and subsidence seeper land in a coal mining area with a synthetic aperture radar (SAR) image of medium resolution. Based on features of land cover of the coal mining area,on texture feature extraction and a selection method of a gray-level co-occurrence matrix (GLCM) of the SAR image,we propose in this study that the optimum window size for computing the GLCM is an appropriate sized window that can effectively distinguish different types of land cover. Next,a band combination was carried out over the text feature images and the band-filtered SAR image to secure a new multi-band image. After the transformation of the new image with principal component analysis,a classification is conducted selectively on three principal component bands with the most information. Finally,through training and experimenting with the samples,a better three-layered BP neural network was established to classify the SAR image. The results show that,assisted by texture information,the neural network classification improved the accuracy of SAR image classification by 14.6%,compared with a classification by maximum likelihood estimation without texture information.
基金funded by the National Natural Science Foundation of China(31171560 and 30630045)the China Agricultural Research System,the Key Technologies R&D Program of China during the 11th Five-Year Plan period (2006BAD02B02)the Natural Science Foundation of Hebei Province,China(C2004000697 and C2008001172)
文摘Inter simple sequence repeat（ISSR） analysis was applied to samples of foxtail millet and its wild ancestor and other close relatives of the genus Setaria in order to detect domestication-related geographical structure and phylogenetic relationship of those species.Eighty-one accessions of nine Setaria species that originated from different regions were used in this study.Fourteen out of the 27 ISSR primers screened amplified successfully and a total of 156 markers were scored for all the accessions,with a high level of polymorphism being detected.The dendrogram based on UPGMA cluster analysis showed clear geographic structure among foxtail millet and its wild ancestor green foxtail,which implies that northern China is the domestication center for both the Chinese and European foxtail millet landraces used in this study.This result did not support the hypothesis that China and Europe are independent domestication centers for foxtail millet proposed by several previous studies based on morphological and isozyme data.The dendrogram also clearly classified the Setaria sample used into two groups,a viridis and a pumila groups.The viridis group was composed of S.viridis,S.italica,S.faberii,S.verticillata,S.leucopila,and S.queenslandica,and the pumila group consisted of S.parviflora and S.pumila,which is consistent with the recently proposed hypothesis of multiple origin of Setaria species.The phylogenetic relationships among different species are discussed.
