中国科学院机构知识库网格系统: 检索

DC-KD: double-constraint knowledge distillation for optical satellite imagery object detection based on YOLOX model 会议论文 OAI收割
Hangzhou, China, 2023-11-03
作者: Yang, Hongbo; Qiu, Shi; Feng, Xiangpeng

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收藏 | 浏览/下载：7/0 | 提交时间：2024/09/19

Remote sensing image applications Satellite image processing Tiny object detection Knowledge distillation

An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications 期刊论文 OAI收割
REVIEWS OF GEOPHYSICS, 2019, 卷号: 57, 期号: 3, 页码: 739-799
作者: Fang, Hongliang; Baret, Frederic; Plummer, Stephen; Schaepman-Strub, Gabriela

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收藏 | 浏览/下载：36/0 | 提交时间：2020/05/19

leaf area index (LAI) field measurement remote sensing estimation validation schemes LAI uncertainties LAI applications

An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications 期刊论文 OAI收割
REVIEWS OF GEOPHYSICS, 2019, 卷号: 57, 期号: 3, 页码: 739-799
作者: Fang, Hongliang

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收藏 | 浏览/下载：33/0 | 提交时间：2020/05/19

leaf area index (LAI) field measurement remote sensing estimation validation schemes LAI uncertainties LAI applications

High speed CMOS imaging electronics system for ultraviolet remote sensing instrument 期刊论文 OAI收割
Optics and Precision Engineering, 2018, 卷号: 26, 期号: 2, 页码: 471-479
作者: Zhang Heng, 张恒; Ma Qing-jun, 马庆军; Wang Shu-rong, 王淑荣

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收藏 | 浏览/下载：19/0 | 提交时间：2019/09/17

Remote sensing Aerospace applications CMOS integrated circuits Imaging systems Jitter Space optics Spectroscopy

Study on the support technology of the light-weighted mirror 期刊论文 OAI收割
Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2016, 卷号: 9682, 页码: 96820X
作者: Zhu, Nengbing; Qi, Bo; Ren, Ge; Zhu, Fuyin; Ai, Zhiwei

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收藏 | 浏览/下载：38/0 | 提交时间：2018/06/14

Manufacture Mirrors Optical Testing Remote Sensing Space Applications Stiffness Telescopes Vibration Analysis

Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE) 会议论文 OAI收割
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Cao J.; Chen H.; Sun J.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

In most applications of remote sensing data special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China the MODIS data located in the study area was classified into the five land cover types including water grasslands forests farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.

Geometric calibration and accuracy assessment of a multispectral imager on UAVs 会议论文 OAI收割
Optical Metrology and Inspection for Industrial Applications II, Beijing, China, November 5, 2012 - November 7,2012
Zheng, Fengjie; Yu, Tao; Chen, Xingfeng; Chen, Jiping; Yuan, Guoti

收藏 | 浏览/下载：20/0 | 提交时间：2014/12/07

Calibration Applications Cameras Degrees of freedom (mechanics) Geometry Industrial applications Lenses Pixels Remote sensing Space optics Unmanned aerial vehicles (UAV)

Study on spectrograph for ionosphere: A broadband imaging instrument prototype for far-ultraviolet (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
作者: Wang S.-R.; Lin G.-Y.; Yu L.

收藏 | 浏览/下载：36/0 | 提交时间：2013/03/25

Current research on space-based exploration for the ionosphere needs more advanced technologies. Because the spectral signals in the ionosphere distributing basically in the far-ultraviolet waveband are very weak. Usual spectrometer structures and detectors such as CCD can't receive enough information. Based on this principle of atmospheric sounding the imaging spectrometer prototype for ionosphere detection application was designed to solve the problem. This prototype consists of the telescope and the imaging spectrometer. The simple structure and small number of mirrors can help higher transmission efficiency be achieved and weak signals detection be implemented. The telescope is an off-axis parabolic mirror and the spectrometer is a modified Czerny-Turner spectral imaging system. Modified Czerny-Turner spectrometer contains a spherical mirror a fixed plane grating and a toroidal mirror. By adjusting the incident angle to the collimating mirror and using toroidal mirror coma and astigmatism were corrected well. We also optimize distances between the grating to the focusing mirror and the focusing mirror to the image plane to improve disadvantages of traditional Czerny-Turner structure. Designed results demonstrate that aberrations are substantially corrected and high image quality can be obtained in broad waveband. The photon counting Wedge-Strip-Anode detector with micro-channel planes as the receiving plane is accepted for the instrument prototype. The other photon counting 2-D detector responding well for weak light such as Cross-Delay line detector and MAMA detector can also be used for detection. The calibration and performances testing system is made of a vacuum system a deuterium lamp a monochrometer and the instrument prototype. Results obtained from the experiment show that the spectral resolution is 2.4 nm and the spatial resolution is 80 m. The other calibration experiments are running. The technology of the spectrometer prototype is important for the research and applications of ionosphere remote sensing. 2011 SPIE.

Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.

收藏 | 浏览/下载：78/0 | 提交时间：2013/03/25

Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.

Image compression algorithm of high-speed SPIHT for aerial applications (EI CONFERENCE) 会议论文 OAI收割
2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, May 27, 2011 - May 29, 2011, Xi'an, China
作者: Zhang K.; Zhang K.; Zhang K.; Zhang K.

收藏 | 浏览/下载：39/0 | 提交时间：2013/03/25

SPIHT and NLS (Not List SPIHT) are efficient compression algorithms but the algorithms application is limited by the shortcomings of the poor error resistance and slow compression speed in the aviation and other areas requiring high-speed compression. In this paper the error resilience and the compression speed are improved. The remote sensing images are decomposed by Le Gall5/3 wavelet and wavelet coefficients are indexed scanned and allocated by the means of family blocks. The bit-plane importance is predicted by bitwise OR so the N bit-planes can be encoded at the same time. Compared with the SPIHT algorithm this modified algorithm is easy implemented by hardware and the compression speed is improved. The PSNR of reconstructed images encoded by high-speed SPIHT is slightly lower than SPIHT at rate 1bpp but the speed is 4.5-6 times faster than SPIHT encoding process. The algorithm meets the high speed and reliability requirements of aerial applications. 2011 IEEE.