UE-Bézier (unified and extended Bézier) basis is the unified form of Bézier-like bases,including polynomial Bézier basis,trigonometric polynomial and hyperbolic polynomial Bézier basis.Similar to the original Bézier-like bases,UE-Bézier basis functions are not orthogonal.In this paper,a group of orthogonal basis is constructed based on UE-Bézier basis.The transformation matrices between UE-Bézier basis and the proposed orthogonal basis are also solved. 相似文献
Nowadays more and more elderly people are suffering from Alzheimer’s disease (AD). Finely recognizing mild cognitive impairment (MCI) in early stage of the symptom is vital for AD therapy. However, brain image samples are relatively scarce, meanwhile have multiple modalities, which makes finely classifying brain images by computers extremely difficult. This paper proposes a fine-grained brain image classification approach for diagnosing Alzheimer’s disease, with re-transfer learning and multi-modal learning. First of all, an end-to-end deep neural network classifier CNN4AD is designed to finely classify diffusion tensor image (DTI) into four categories. And according to the characteristics of multi-modal brain image dataset, the re-transfer learning method is proposed based on transfer learning and multi-modal learning theories. Experimental results show that the proposed approach obtain higher accuracy with less labeled training samples. This could help doctors diagnose Alzheimer’s disease more timely and accurately.
Chinese urbanization has drawn widespread attention since the 21st century. Understanding urban expansion at a watershed scale including cities of different sizes is important for improving our current knowledge of the urban extent and its impact on the hydrological cycle, water management, surface energy balances, and biodiversity. Impervious surface area (ISA) can be used as a synthesized quantifiable index to reflect the intensity of natural ecosystems changing into urban ecosystems. It is important to understand ISA patterns and characteristics, which requires long-term impervious surface data at a high spatial and temporal resolution. Previous methods of ISA estimation mainly focused on the spectral differences between ISA and other land covers, and most studies were inclined to use one or a few images without fully considering the long time series of the temporal domain of the reflective data on remote-sensing images. This assessed the Dianchi Lake watershed as a case study area to illustrate ISA change characteristics in the context of natural and cultural conditions. Firstly, more than two hundred Landsat images (from 1988 to 2017) were downloaded through the United States Geological Survey (USGS) online portal. Secondly, the improved normalized difference build-up index (INDBI) and linear spectral mixture analysis (LSMA) algorithm were combined to apply the method to a series of ISA maps of the Dianchi Lake watershed at an annual resolution. Thirdly, ISA extent characteristics of the Dianchi Lake watershed were analysed from trend and pattern aspects. The results show that the proposed method was highly reliable for detecting and characterizing change, with an extracted ISA accuracy of 92.51%, based on a sample of independent validation points. The Dianchi Lake watershed has begun to adopt ‘Rashly Advancing’ and ‘Great Leap Forward’ strategies of urbanization. 相似文献