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Ke J.,Key Laboratory of Photo electronic Imaging Technology and System | Wei P.,Key Laboratory of Photo electronic Imaging Technology and System | Zhang X.,CAS Institute of Automation | Lam E.Y.,University of Hong Kong
IST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings | Year: 2013

In this paper, block-based compressive low-light-level imaging (BCL-imaging) is studied. To obtain larger measurement SNR (signal to noise ratio), instead of object pixels, linear combinations of pixels, referred to as features, are collected. PCA and Hadamard features are studied. Measurement SNR and reconstruction error are analyzed to quantify BCL-imaging performance. Compared with conventional imaging, BCL-imaging presents better reconstruction quality. Between PCA and Hadamard projections, PCA has smaller reconstruction error. However, after sorting the projection vectors using measurement SNR, Hadamard can obtain similarly performance as PCA. Biased vector and dual-measurements are studied with experimental results for the implementation of both projections in the end of this paper. © 2013 IEEE. Source


Liu N.,Beijing Institute of Technology | Liu N.,Key Laboratory of Photo electronic Imaging Technology and System | Chen X.,Beijing Institute of Technology | Chen X.,Key Laboratory of Photo electronic Imaging Technology and System | And 2 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2014

Currently, it is not adequate to extract and classify the hyperspectral image for oil and gas exploration. For mining the deeper remote sensing data about hydrocarbon microseepage, the technology of spectral unmixing can extract pure surface information and provide each pixel's endmember abundance. However, endmember extraction is the key of spectral unmixing. The paper mainly researches a valid algorithm, which has already be proposed, for extracting endmembers caused by the hydrocarbon microseepage from Hyperion image. Comparing the different endmember algorithms by analyzing the correlations between endmember abundances and contents, the experimental results demonstrate that PPI algorithm is more robust and efficient for extracting the hydrocarbon microseepage information in the study area. © 2014 IEEE. Source


Wang X.,Light Technology | Wang X.,Key Laboratory of Photo electronic Imaging Technology and System | Hu L.,Key Laboratory of Photo electronic Imaging Technology and System | Zhi Q.,Light Technology | And 2 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

Range-gated technology has been a hot research field in recent years due to its high effective back scattering eliminating. As a result, it can enhance the contrast between a target and its background and extent the working distance of the imaging system. The underwater imaging system is required to have the ability to image in low light level conditions, as well as the ability to eliminate the back scattering effect, which means that the receiver has to be high-speed external trigger function, high resolution, high sensitivity, low noise, higher gain dynamic range. When it comes to an intensifier, the noise characteristics directly restrict the observation effect and range of the imaging system. The background noise may decrease the image contrast and sharpness, even covering the signal making it impossible to recognize the target. So it is quite important to investigate the noise characteristics of intensifiers. SNR is an important parameter reflecting the noise features of a system. Through the use of underwater laser range-gated imaging prediction model, and according to the linear SNR system theory, the gated imaging noise performance of the present market adopted super second generation and generation III intensifiers were theoretically analyzed. Based on the active laser underwater range-gated imaging model, the effect to the system by gated intensifiers and the relationship between the system SNR and MTF were studied. Through theoretical and simulation analysis to the image intensifier background noise and SNR, the different influence on system SNR by super second generation and generation III ICCD was obtained. Range-gated system SNR formula was put forward, and compared the different effect influence on the system by using two kind of ICCDs was compared. According to the matlab simulation, a detailed analysis was carried out theoretically. All the work in this paper lays a theoretical foundation to further eliminating back scattering effect, improving image SNR, designing and manufacturing higher performance underwater range-gated imaging systems. © 2013 SPIE. Source


Tong X.,Beijing Institute of Technology | Tong X.,Key Laboratory of Photo electronic Imaging Technology and System | Chen X.,Beijing Institute of Technology | Chen X.,Key Laboratory of Photo electronic Imaging Technology and System | And 6 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2013

This paper proposed a simulation method to assess the remote sensing imaging system by which we can get a clear and visible result in the form of image. It can assist the design and development at low-cost. © 2013 IEEE. Source


Li Q.,Beijing Institute of Technology | Li Q.,Key Laboratory of Photo electronic Imaging Technology and System | Chen X.,Beijing Institute of Technology | Chen X.,Key Laboratory of Photo electronic Imaging Technology and System | And 6 more authors.
Chinese Optics Letters | Year: 2012

Oil microleakage can cause the land surface vegetation to be abnormal. An oil and gas exploration method based on the vegetation information in the hyperspectral remote sensing images is proposed. It's used to probe the effectiveness of extracting the oil and gas microleakage information, with the vegetation anomalies in the remote sensing images. A decision tree based on the vegetation index is taken to extract the anomalies areas of vegetation in the CASI images. It's shown by the experiment that there are some potential for the exploration of oil and gas in the areas covered by sparse vegetations. © 2012 Chinese Optics Letter. Source

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