Research Progress
-
Scientists Propose A High Contrast and High-resolution Ghost Imaging in Microscopic RegimeGhost imaging is a technique nonlocally produces an image of an object. The output of a (partially) coherent light source of the technique is split into two: one beam hits the unknown object while another severs as a reference and respectively record the ph...May 21, 2020 -
Can Pulmonary Nodules Be Accurate Detection Based on CT Images? The Researchers Provided You The AnswerPulmonary nodules are the main pathological changes of the lung. Malignant pulmonary nodules will be transformed into lung cancer, which is a serious threat to human health and life. Therefore, the detection of pulmonary nodules is of great significance to ...May 18, 2020 -
An Efficient Method of Angular Momentum Multiplexing and Demultiplexing for High-capacity Optical CommunicationA research team led by Prof. Dr. ZHANG Wenfu from Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences (CAS) proposed a method for AM multiplexing and demultiplexing based on a dielectric metasurface. Employing the of... Optical multiplexing and demultiplexing utilizing the intrinsic physical properties of light has played a crucial role in high-capacity data storage and high-speed communications.
However, the generation and detection of angular momentum (AM) carrying b...Mar 18, 2020 -
Imaging Correlography Using Ptychography for Long-range Space Targets ImagingImaging correlography is an effective method for long-distance imaging, it recovers an object using only the knowledge of the Fourier modulus without the needs of phase information. A research team led by Prof. Dr. SONG Zongxi from Xi'an Institute of Optics... The long-range space targets imaging, such as middle-and-high altitude Earth satellites and space debris above 10,000 km, is important for space scientific research. To obtain clear images, the resolution of the imaging system is required to reach the milli...Mar 16, 2020 -
Scientists Build Novel Methods to Enhance the Accuracy of Remote Sensing Scene ClassificationDeep feature-based methods have received extensive attention and become the mainstream research in the remote sensing scene classification (RSSC) task. A new mothed, the end-to-end feature aggregation CNN (FACNN), is proposed to alleviate the problem that t... Remote sensing scene classification (RSSC) refers to inferring semantic labels based on the content of the remote sensing scenes. The development of the RSSC technology can contribute to target detection, change detection. Remote sensing scenes contain mult...Mar 11, 2020