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Search Results: 1 - 10 of 8418 matches for " Deng Kazhong "
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CUSP CATASTROPHIC MODEL OF INSTABILITY OF STRIP COAL PILLAR ALONG STRIKE
走向条带煤柱破坏失稳的尖点突变模型

Guo Wenbing,Deng Kazhong,Zou Youfeng,
郭文兵
,邓喀中,邹友峰

岩石力学与工程学报 , 2004,
Abstract: The instability and failure of strip coal pillar along strike is a typical nonlinear process. A mechanical model of strip coal pillar is established,based on which,the expression of total potential energy function is derived. Then the cusp catastrophic model for instability and failure of strip coal pillar along strike is set up by catastrophic theory. The formula of necessary and sufficient condition for instability and failure of strip coal pillar along strike is obtained according to the cusp catastrophic model. In the mean time,the effect of underground water on the coal pillar is considered in the model for the first time. The cusp catastrophic model indicates that underground water reduces the strength and the rigidity of core part of coal pillar and leads to sudden instability of coal pillar. At last,the mechanism of instability and failure for strip coal pillar along strike is analyzed according to the cusp catastrophic model. As a result,a new theoretical method of studying the instability and failure of coal pillar of strip-partial mining is put forward.
ARTIFICIAL NEURAL NETWORK PREDICTION MODEL OF MINING-INDUCED DAMAGE OF BUILDINGS
开采影响下建筑物损害程度的人工神经网络预测模型

Guo Wenbing,Wu Caifang,Deng Kazhong,
郭文兵
,吴财芳 邓喀中

岩石力学与工程学报 , 2004,
Abstract: The main factors affecting the mining-induced damage degree of buildings are comprehensively analyzed. Then the model is established to predict the damage degree of buildings by applying the theory of artificial neural network(ANN). Based on a large amount of cases related to buildings damaged by mining,the predicted results of the model and the measured values are compared and analyzed. The results show that it is feasible to predict the mining-induced damage degree of buildings by ANN technology.
STUDY ON PHASE UNWRAPPING OF SAR INTERFEROGRAM OVER MOUNTAIN REGION IN WESTERN CHINA
西部高山地区SAR干涉图相位解缠方法研究

Ju Chengyu,Deng Kazhong,Fan Hongdong,
剧成宇
,邓喀中,范洪冬

大地测量与地球动力学 , 2010,
Abstract: 使用基于路径跟踪、最小二乘和网络流思想的9种方法对西部高山地区SAR干涉图进行解缠,通过实验比较分析得出基于不规则网络的最小费用网络流算法是解缠西部高山地区SAR干涉图的最优算法。
STUDY ON GREY MARKOV PREDICTION MODEL FOR OLD GOAF RESIDUAL SUBSIDENCE
老采空区残余沉降的GM-Markov预测模型研究

Wang Zhengshuai,Deng Kazhong,
王正帅
,邓喀中

大地测量与地球动力学 , 2010,
Abstract: 研究并建立了老采空区残余沉降的灰色马尔可夫预测模型(GM-arkov),采用粒子群优化算法(PSO)求解GM(1,1)模型的最优背景值和初始扰动值,充分提取序列中的趋势信息进行建模、预测,并引入马尔可夫链对预测结果进行修正。通过实例将GM-arkov模型与GM(1,1)的预测结果进行比较分析。结果表明:GM-arkov模型的预测精度和稳定性均优于GM(1,1)。
SAR IMAGE CHANGE DETECTION METHODS BASED ON GLCM TEXTURE FEATURES
基于灰度共生矩阵纹理特征的SAR影像变化检测方法研究

Han Jing,Deng Kazhong,Li Beicheng,
韩晶
,邓喀中,李北城

大地测量与地球动力学 , 2012,
Abstract: The authors found difference images based on the contrast can stand out changed information better using texture features extraction of SAR images based on gray level co-ocurrence matrix,to analyze the principle of the GLCM,feature vectors and the characteristic parameters determined,logarithmic ratio operator constructed difference images,we made the difference images based on the contrast as the base of change detection.As the images in accordance with the Gaussian mixture model,so we estimate the parameters of the Gaussian mixture model with expectation maximum(EM) algorithm,and then use Bayesian minimum error rate to extract change information,finally compare it with the change detection results based on the pixel grayscale value.The test proved that the change detection method based on GLCM texture features has the lower false alarm rate,the lower missing rate,the smaller overall error and better detection effect.
Range-Coplanarity equation for radar geometric imaging
雷达影像几何构像距离-共面方程

CHENG Chunquan,ZHANG Jixian,DENG Kazhong,ZHANG Li,
程春泉
,张继贤,邓喀中,张力

遥感学报 , 2012,
Abstract: Geometric imaging equation is the most fundamental and important formula for photogrammetry, and rigorousness and conciseness are main factors constrain its applicability. In this paper, following the analyzing of attitude influence on sidelooking radar imaging, a rigorous and concise geometric imaging equation based on Range-Coplanarity (R-Cp) condition is proposed using positions and attitudes (e.g., exterior orientation elements) of the radar sensor as orientation parameters. The equation considers the effect of attitude angles on radar image positioning, reflects the imaging geometric principle of radar images in both distance and azimuth directions, removes the complicated imaging parameters, and realizes the coherence of orientation parameters of rigorous model for optical image and side-looking radar image. Furthermore, it also shows higher positioning experiment precision compared to Konecny G model and Leberl F model. Theory and tests indicate that the equation has potential applications in the field of photogrammetry on radar remote sensing images.
ON THE DYNAMIC MECHANICS MODEL OF MINING SUBSIDENCE
采动岩体动态力学模型

Wang Yuehan,Deng Kazhong,Wu Kan,Guo Guangli,
王悦汉
,邓喀中,吴侃,郭广礼

岩石力学与工程学报 , 2003,
Abstract: The strata movement falls into four phases. Different mechanics models are used to simulate the strata movement in different phases. The differential equations are derived for strata movement models in different phases. The boundary conditions of each model and exchange conditions between different models are put forward. The visual computing program is developed to compute movement of strata and surface,position of bed separation,caving height of mined rockmass and caving step length of roof. The model has been proved by comparison with field data.
结合KI准则和逆高斯模型的SAR影像非监督变化检测
A Novel Approach Combining KI Criterion and Inverse Gaussian Model to Unsupervised Change Detection in SAR Images

庄会富, 邓喀中, 余美, 范洪冬
ZHUANG Huifu
, DENG Kazhong, YU Mei, FAN Hongdong

- , 2018, DOI: 10.13203/j.whugis20160079
Abstract: 提出一种结合逆高斯模型(inverse Gaussian model,IGM)和KI (Kittler-Illingworth,KI)最小错误率准则的合成孔径雷达(synthetic aperture radar,SAR)影像非监督变化检测方法。假设差值影像中未变化类和变化类服从混合IGM,结合贝叶斯决策理论,自动求取满足KI最小错误率准则的阈值。在两组多时相SAR数据上分别设计了两组实验以验证本文方法的有效性。实验表明,本文方法可以更好地估计差值影像中未变化类和变化类的概率密度分布,得到合理的决策阈值,有效提高变化检测图的精度
基于SBAS-InSAR的矿区地表沉降监测与分析
Monitoring and Analysis of Surface Subsidence in Mining Area Based on SBAS-InSAR

李达, 邓喀中, 高晓雄, 牛海鹏
LI Da
, DENG Kazhong, GAO Xiaoxiong, NIU Haipeng

- , 2018, DOI: 10.13203/j.whugis20160566
Abstract: 针对雷达差分干涉测量技术(differential interferometry synthetic aperture radar,DInSAR)易受时空失相关、大气相位延迟等因素的影响,采用小基线集技术(small baseline subset,SBAS)对13景TerraSAR-X数据进行时序处理,估算并去除了残余数字高程模型误差、大气延迟误差和轨道误差,分析了研究区域2012-2013年沉降速率,发现2310和1301两工作面最大下沉速率分别为40 mm/a和50 mm/a;分析时序累计沉降值发现,2306、2308、2310这3个工作面在2012年11月15日之前地面沉降并不明显;在2310和1301工作面分别提取3个失相干现象表现较为缓慢的候选点进行时序分析,发现沉降值和时间成线性变化关系,且开采时间越早,其沉降特性越符合线性变化;将SBAS和DInSAR两种方法获得的累计沉降值进行差值分析,发现两种方法的差值在5 mm以内;在2310工作面走向方向和倾向方向选取若干观测点,并提取各观测点的时序沉降值对工作面时序沉降进行量化分析,实验表明SBAS-InSAR技术在矿区地表沉降监测与分析方面具有良好的应用前景
Study on high-accuracy orientation with lunar remote sensing im-agery
月球遥感影像高精度定位研究

ZHANG Jixian,DENG Kazhong,CHENG Chunquan,YAN Qin,NING Xiaogang,GUO Jian,
张继贤
,邓喀中,程春泉,燕 琴,宁晓刚,郭 健

遥感学报 , 2010,
Abstract: 高精度影像立体定位是月球地形测绘的基础。对嫦娥1号光学传感器方位元素误差和方位元素相关性对影像定位影响进行了仿真, 并建立了适合稀少、低精度控制点条件下月球光学影像区域网平差模型。该模型通过在月心直角坐标系(SOCS)进行影像空中三角测量来消除月球曲率引起的误差和测图范围限制, 通过轨道形状的拟合与插值来减小摄影时刻轨道位置的偶然误差, 在飞行坐标系中建立轨道修正模型来减少定向参数的数目, 对轨道和姿态增加约束条件来提高月面控制点数目稀少及精度低条件下外方位解算的精度与可靠性。文中以克莱门汀10条轨道60景约195000 km2月球南极区面阵影像和ULCN2005控制网为数据源, 进行了不同方案的平差试验。通过对仿真和试验结果分析, 得出月球遥感影像定位部分有益的结论。
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