As a promising technique to enhance the spatial reso- lution of remote sensing imagery, sub-pixel mapping is processed based on the spatial dependence theory with the assumption that the land cover is spatially depend...As a promising technique to enhance the spatial reso- lution of remote sensing imagery, sub-pixel mapping is processed based on the spatial dependence theory with the assumption that the land cover is spatially dependent both within pixels and be- tween them. The spatial attraction is used as a tool to describe the dependence. First, the spatial attractions between pixels, sub- pixel/pixel spatial attraction model （SPSAM）, are described by the modified SPSAM （MSPSAM） that estimates the attractions accord- ing to the distribution of sub-pixels within neighboring pixels. Then a mixed spatial attraction model （MSAM） for sub-pixel mapping is proposed that integrates the spatial attractions both within pix- els and between them. According to the expression of the MSAM maximumising the spatial attraction, the genetic algorithm is em- ployed to search the optimum solution and generate the sub-pixel mapping results. Experiments show that compared with SPSAM, MSPSAM and pixel swapping algorithm modified by initialization from SPSAM （MPS）, MSAM can provide higher accuracy and more rational sub-pixel mapping results.展开更多
A variation pixels identification method was proposed aiming at depressing the effect of variation pixels, which dilates the theoretical hyperspectral data simplex and misguides volume evaluation of the simplex. With ...A variation pixels identification method was proposed aiming at depressing the effect of variation pixels, which dilates the theoretical hyperspectral data simplex and misguides volume evaluation of the simplex. With integration of both spatial and spectral information, this method quantitatively defines a variation index for every pixel. The variation index is proportional to pixels local entropy but inversely proportional to pixels kernel spatial attraction. The number of pixels removed was modulated by an artificial threshold factor α. Two real hyperspectral data sets were employed to examine the endmember extraction results. The reconstruction errors of preprocessing data as opposed to the result of original data were compared. The experimental results show that the number of distinct endmembers extracted has increased and the reconstruction error is greatly reduced. 100% is an optional value for the threshold factor α when dealing with no prior knowledge hyperspectral data.展开更多
电子轰击有源像素传感器(electron bombardment active pixel sensor,EBAPS)的光响应非均匀性是指EBAPS中光电阴极被均匀光源照射时,不同像素输出灰度不一致的现象,尤其是在低光环境下,图像的非均匀性会使细节识别变得困难,影响后续图...电子轰击有源像素传感器(electron bombardment active pixel sensor,EBAPS)的光响应非均匀性是指EBAPS中光电阴极被均匀光源照射时,不同像素输出灰度不一致的现象,尤其是在低光环境下,图像的非均匀性会使细节识别变得困难,影响后续图像处理和分析的准确性。光响应非均匀性主要由光电阴极不同区域对光响应的差异、电子敏感互补金属氧化物半导体不同区域的电子倍增特性差异、各像素间对同一激励的响应差异以及读出电路中传输信道的差异性等因素导致。针对EBAPS的非均匀性问题,提出了一种基于EBAPS光电阴极响应、电子倍增以及像素响应非均匀性协同适配的测试方法。实验结果表明,该方法能够有效评价EBAPS的非均匀性,并且能够对器件的测试筛选和算法校正起到指导作用。展开更多
基金supported by the National Natural Science Foundation of China (60802059)the Foundation for the Doctoral Program of Higher Education of China (200802171003)
文摘As a promising technique to enhance the spatial reso- lution of remote sensing imagery, sub-pixel mapping is processed based on the spatial dependence theory with the assumption that the land cover is spatially dependent both within pixels and be- tween them. The spatial attraction is used as a tool to describe the dependence. First, the spatial attractions between pixels, sub- pixel/pixel spatial attraction model （SPSAM）, are described by the modified SPSAM （MSPSAM） that estimates the attractions accord- ing to the distribution of sub-pixels within neighboring pixels. Then a mixed spatial attraction model （MSAM） for sub-pixel mapping is proposed that integrates the spatial attractions both within pix- els and between them. According to the expression of the MSAM maximumising the spatial attraction, the genetic algorithm is em- ployed to search the optimum solution and generate the sub-pixel mapping results. Experiments show that compared with SPSAM, MSPSAM and pixel swapping algorithm modified by initialization from SPSAM （MPS）, MSAM can provide higher accuracy and more rational sub-pixel mapping results.
基金Projects(61571145,61405041)supported by the National Natural Science Foundation of ChinaProject(2014M551221)supported by the China Postdoctoral Science Foundation,China+3 种基金Project(LBH-Z13057)supported by the Heilongjiang Postdoctoral Science Found,ChinaProject(ZD201216)supported by the Key Program of Heilongjiang Natural Science Foundation,ChinaProject(RC2013XK009003)supported by the Program of Excellent Academic Leaders of Harbin,ChinaProject(HEUCF1508)supported by the Fundamental Research Funds for the Central Universities,China
文摘A variation pixels identification method was proposed aiming at depressing the effect of variation pixels, which dilates the theoretical hyperspectral data simplex and misguides volume evaluation of the simplex. With integration of both spatial and spectral information, this method quantitatively defines a variation index for every pixel. The variation index is proportional to pixels local entropy but inversely proportional to pixels kernel spatial attraction. The number of pixels removed was modulated by an artificial threshold factor α. Two real hyperspectral data sets were employed to examine the endmember extraction results. The reconstruction errors of preprocessing data as opposed to the result of original data were compared. The experimental results show that the number of distinct endmembers extracted has increased and the reconstruction error is greatly reduced. 100% is an optional value for the threshold factor α when dealing with no prior knowledge hyperspectral data.
文摘电子轰击有源像素传感器(electron bombardment active pixel sensor,EBAPS)的光响应非均匀性是指EBAPS中光电阴极被均匀光源照射时,不同像素输出灰度不一致的现象,尤其是在低光环境下,图像的非均匀性会使细节识别变得困难,影响后续图像处理和分析的准确性。光响应非均匀性主要由光电阴极不同区域对光响应的差异、电子敏感互补金属氧化物半导体不同区域的电子倍增特性差异、各像素间对同一激励的响应差异以及读出电路中传输信道的差异性等因素导致。针对EBAPS的非均匀性问题,提出了一种基于EBAPS光电阴极响应、电子倍增以及像素响应非均匀性协同适配的测试方法。实验结果表明,该方法能够有效评价EBAPS的非均匀性,并且能够对器件的测试筛选和算法校正起到指导作用。
