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郑州大学电气与信息工程学院“计算智能与优化控制”科研团队在国际权威期刊《IEEETransactions on Geoscience and Remote Sensing》发表多项研究成果
计算智能 优化控制 红外弱小目标检测
2024/9/6
雷速共建数据
近日，郑州大学电气与信息工程学院梁静教授带领的“计算智能与优化控制”科研团队联合香港大学与腾讯公司在红外弱小目标检测领域取得多项成果。
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Optimization problem in remote sensing data processing
遥感 数据处理 优化问题
2023/5/4
In this talk, we will introduce some optimization problem in remote sensing data processing. The high dimensional characteristics of remote sensing data, especially hyperspectral data, will not only l...
A NEW APPROACH FOR ACCURACY IMPROVEMENT OF PULSED LIDAR REMOTE SENSING DATA
Time interval measurement Pulsed lidar Data quality Capacitor charge Voltage curve Remote sensing
2018/5/17
In remote sensing applications, the accuracy of time interval measurement is one of the most important parameters that affect the quality of pulsed lidar data. The traditional time interval measuremen...
REMOTE SENSING & GIS INTEGRATION FOR MONITORING THE AREAS AFFECTED BY FOREST FIRES: A CASE STUDY IN IZMIR, TURKEY
Remote Sensing Forest Fire Burn Indexes Classification Sentinel Landsat, DEM
2018/4/18
A forest fire is stated as an ecological disaster whether it is man-made or caused naturally. İzmir is one of the regions where forest fires are most intensified in Turkey. The study area located...
A Fuzzy-based Method for Remote Sensing Image Contrast Enhancement
Image Processing Colour Interpretation Fuzzy Logic
2015/12/3
Many conventional contrast enhancement techniques adopt a global approach to enhance all the brightness level of the image. However, it is usually difficult to enhance all land cover classes appearing...
Contribution of Integrated Remote Sensing System (SINAT) to Territorial Management: Towards the Strengthening of the National System of Land Observation.
Digital images Airborne and space capabilities Earth observation system
2015/11/20
SINAT (Integrated National Remote Sensing System) is a system that incorporates space and airborne sensors to capture, process and distributes accurate geographic data. It integrates efforts from dive...
The Roman City of Uxama Argeala (Soria,Spain) and its Study by Means of Remote Sensing and Digital Cartography
Remote Sensing Image Processing Digital Cartography Roman Town Urbanism
2015/11/12
During the last ten years, we have undertaken a research in order to elaborate a working methodology to study archaeological sites without excavating, by means of using no destructive interventions as...
CMOS Image Sensor With Per-Column ΣΔ ADC and Programmable Compressed Sensing
ΣΔ ADC CMOS image sensor compressed/compressive sensing
2015/8/12
A CMOS image sensor architecture with built-in single-shot compressed sensing is described. The image sensor employs a conventional 4-T pixel and per-column ΣΔ ADCs. The compressed sensing measurement...
Compressed sensing with quantized measurements
Signals gaussian noise interval value differentiable convex function
2015/8/7
We consider the problem of estimating a sparse signal from a set of quantized, Gaussian noise corrupted measurements, where each measurement corresponds to an interval of values. We give two methods f...
The Restricted Isometry Property and Its Implications for Compressed Sensing
Restricted Isometry Property Compressed Sensing
2015/6/17
It is now well-known that one can reconstruct sparse or compressible signals accurately from a very limited number of measurements, possibly contaminated with noise. This technique known as “compresse...
We consider the problem of estimating a sparse signal from a set of quantized, Gaussian noise corrupted measurements, where each measurement corresponds to an interval of values. We give two methods f...
Compressed Sensing with Coherent and Redundant Dictionaries
Compressed Sensing Coherent and Redundant Dictionaries
2015/6/17
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or incoherent dictionary...
On the Fundamental Limits of Adaptive Sensing
sparse signal estimation adaptive sensing compressed sensing support recovery information bounds hypothesis tests
2015/6/17
Suppose we can sequentially acquire arbitrary linear measurements of an n-dimensional vector x resulting in the linear model y = Ax + z, where z represents measurement noise. If the signal is known to...
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition
Compressed sensing Indium-Phosphide Parameter Estimation Random-Modulation Pre-Integration
2015/6/17
In this paper we present a complete (hardware/software) sub-Nyquist rate (×13) wideband signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous bandwidth spanning 100 ...
Interference Cancellation in Wideband Receivers using Compressed Sensing
Compressed Sensing Interference cancellation wideband receivers LNA
2014/12/8
Previous approach for narrowband interference cancellation based on compressed sensing (CS) in wideband receivers uses orthogonal projections to project away from the interference. This is not effecti...