影像上同物异谱或同谱异物的现象会造成同一混合像元端元在影像上的光谱不唯一。端元差异问题将给端元选择和提取造成困难,并最终影响混合像元分解的精度。为了尽可能减小端元类内差异、扩大类间差异,针对传统算法无法避免端元在不同波...影像上同物异谱或同谱异物的现象会造成同一混合像元端元在影像上的光谱不唯一。端元差异问题将给端元选择和提取造成困难,并最终影响混合像元分解的精度。为了尽可能减小端元类内差异、扩大类间差异,针对传统算法无法避免端元在不同波段的光谱数值尺度相差很大且定权自动化程度低的缺陷,将变异系数概念引入端元差异问题研究中,提出一种适用于多光谱数据的基于加权理论的加权变异系数分析法(Weighted coefficient of variation analysis,WCVA)。分别从理论和实验两方面论证了WCVA的可行性与优越性。在对比实验中,利用同一地区的TM和Geo Eye多光谱影像,从可视化端元空间分布、算法效率和混合像元最终解混精度比较了WCVA和最佳指数因子(Optimal index factor,OIF)结果。实验证明利用本文提出的WCVA方法获得的波段组合具有更高的解混精度(0.183和0.160)。同时运算效率明显高于OIF。因此WCVA不仅能够有效解决端元差异问题,提高混合像元解混的精度,而且具有较高的运算效率。展开更多
One of the most important parameters for oceanic internal waves (IWs) is their amplitude. We have developed a method to retrieve the IW amplitude from nautical X-Band radar images based on the KdV equation for continu...One of the most important parameters for oceanic internal waves (IWs) is their amplitude. We have developed a method to retrieve the IW amplitude from nautical X-Band radar images based on the KdV equation for continuous stratified finite depth system. We have also tested the method of measuring the amplitude of IWs from X-Band radar backscatter image sequences acquired on June 2009 in the northeastern South China Sea. The method was applied in several radar images. Experiments show that the retrieval amplitudes are consistent with the in-situ observational amplitudes of IWs by using the towed thermistor chain and conductivity-temperature-depth (CTD) profile. The uncertainty of the method is also discussed.展开更多
Taking a typical inland wetland of Honghe National Nature Reserve (HNNR), Northeast China, as the study area, this paper studied the application of L-band Synthetic Aperture Radar (SAR) image in extracting eco-hydrolo...Taking a typical inland wetland of Honghe National Nature Reserve (HNNR), Northeast China, as the study area, this paper studied the application of L-band Synthetic Aperture Radar (SAR) image in extracting eco-hydrological information of inland wetland. Landsat-5 TM and ALOS PALSAR HH backscatter images were first fused by using the wavelet-IHS method. Based on the fused image data, the classification method of support vector machines was used to map the wetland in the study area. The overall mapping accuracy is 77.5%. Then, the wet and dry aboveground biomass estimation models, including statistical models and a Rice Cloudy model, were established. Optimal parameters for the Rice Cloudy model were calculated in MATLAB by using the least squares method. Based on the validation results, it was found that the Rice Cloudy model produced higher accuracy for both wet and dry aboveground biomass estimation compared to the statistical models. Finally, subcanopy water boundary information was extracted from the HH backscatter image by threshold method. Compared to the actual water borderline result, the extracted result from L-band SAR image is reliable. In this paper, the HH-HV phase difference was proved to be valueless for extracting subcanopy water boundary information.展开更多
文摘影像上同物异谱或同谱异物的现象会造成同一混合像元端元在影像上的光谱不唯一。端元差异问题将给端元选择和提取造成困难,并最终影响混合像元分解的精度。为了尽可能减小端元类内差异、扩大类间差异,针对传统算法无法避免端元在不同波段的光谱数值尺度相差很大且定权自动化程度低的缺陷,将变异系数概念引入端元差异问题研究中,提出一种适用于多光谱数据的基于加权理论的加权变异系数分析法(Weighted coefficient of variation analysis,WCVA)。分别从理论和实验两方面论证了WCVA的可行性与优越性。在对比实验中,利用同一地区的TM和Geo Eye多光谱影像,从可视化端元空间分布、算法效率和混合像元最终解混精度比较了WCVA和最佳指数因子(Optimal index factor,OIF)结果。实验证明利用本文提出的WCVA方法获得的波段组合具有更高的解混精度(0.183和0.160)。同时运算效率明显高于OIF。因此WCVA不仅能够有效解决端元差异问题,提高混合像元解混的精度,而且具有较高的运算效率。
基金Supported by the Knowledge Innovation Program of Chinese Academy of Sciences (No. KZCX-YW-12-04)the National Natural Science Foundation of China (No. 41030855)+1 种基金the National High Technology Research and Development Program of China (863 Program) (No. 2008AA09A403)the Marine Public Welfare Project of China (No. 201105032)
文摘One of the most important parameters for oceanic internal waves (IWs) is their amplitude. We have developed a method to retrieve the IW amplitude from nautical X-Band radar images based on the KdV equation for continuous stratified finite depth system. We have also tested the method of measuring the amplitude of IWs from X-Band radar backscatter image sequences acquired on June 2009 in the northeastern South China Sea. The method was applied in several radar images. Experiments show that the retrieval amplitudes are consistent with the in-situ observational amplitudes of IWs by using the towed thermistor chain and conductivity-temperature-depth (CTD) profile. The uncertainty of the method is also discussed.
基金Under the auspices of National High Technology Research and Development Program of China (No. 2007AA12Z176)National Natural Science Foundation of China (No. 40771170)Natural Science Foundation of Beijing (No. 8082010)
文摘Taking a typical inland wetland of Honghe National Nature Reserve (HNNR), Northeast China, as the study area, this paper studied the application of L-band Synthetic Aperture Radar (SAR) image in extracting eco-hydrological information of inland wetland. Landsat-5 TM and ALOS PALSAR HH backscatter images were first fused by using the wavelet-IHS method. Based on the fused image data, the classification method of support vector machines was used to map the wetland in the study area. The overall mapping accuracy is 77.5%. Then, the wet and dry aboveground biomass estimation models, including statistical models and a Rice Cloudy model, were established. Optimal parameters for the Rice Cloudy model were calculated in MATLAB by using the least squares method. Based on the validation results, it was found that the Rice Cloudy model produced higher accuracy for both wet and dry aboveground biomass estimation compared to the statistical models. Finally, subcanopy water boundary information was extracted from the HH backscatter image by threshold method. Compared to the actual water borderline result, the extracted result from L-band SAR image is reliable. In this paper, the HH-HV phase difference was proved to be valueless for extracting subcanopy water boundary information.
