高光谱成像                        
                
                                
                        
                            图像分辨率                        
                
                                
                        
                            遥感                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            分辨率(逻辑)                        
                
                                
                        
                            光学                        
                
                                
                        
                            光学成像                        
                
                                
                        
                            全光谱成像                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            计算机视觉                        
                
                                
                        
                            地质学                        
                
                                
                        
                            物理                        
                
                        
                    
            作者
            
                Zhe Jiang,Zekuan Yu,Yue Yu,Zhiyu Huang,Qiushi Ren,Changhui Li            
         
                    
            出处
            
                                    期刊:Applied Optics
                                                         [Optica Publishing Group]
                                                        日期:2019-01-23
                                                        卷期号:58 (4): 850-850
                                                        被引量:2
                                 
         
        
    
            
        
                
            摘要
            
            Hyperspectral imaging (HSI) is a promising tool for microscopic histopathology studies. Pushbroom microscopic hyperspectral imaging systems are widely used because of their low cost and easy implementation. However, the spatial resolution of pushbroom HSI systems is limited by the width of the optical entrance slit. A narrower slit leads to longer exposure time and slower imaging speed. In this paper, we explored several spatial resolution enhancement algorithms, originally designed for remote-sensing hyperspectral imaging, for pushbroom microscopic HSI systems. Our results demonstrate that those algorithms could effectively achieve a higher spatial resolution without sacrificing imaging speed.
         
            
 
                 
                
                    
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