公开(公告)号：US20160371841A1

公开(公告)日：2016-12-22

申请号：US15106686

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Longwei HAO ,  Wenxuan MA ,  Cen LU ,  Heng YAO ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG

IPC: G06T7/00 ,  G06K9/46 ,  G06T7/60 ,  G01V9/00

CPC classification number: G06T7/73 ,  G01V9/005 ,  G06K9/0063 ,  G06K9/4652 ,  G06K9/4661 ,  G06T5/008 ,  G06T5/30 ,  G06T7/60 ,  G06T2207/10032 ,  G06T2207/10048

Abstract: A zonal underground structure detection method based on sun shadow compensation is provided, which belongs to the crossing field of remote sensing technology, physical geography and pattern recognition, and is used to carry out compensation processing after a shadow is detected, to improve the identification rate of zonal underground structure detection and reduce the false alarm rate. The present invention comprises steps of acquiring DEM terrain data of a designated area, acquiring an image shadow position by using DEM, a solar altitude angle and a solar azimuth angle, processing and compensating a shadow area, and detecting a zonal underground structure after the shadow area is corrected. In the present invention, the acquired DEM terrain data is used to detect the shadow in the designated area; and the detected shadow area is processed and compensated, to reduce influence of the shadow area on zonal underground structure detection; finally, the zonal underground structure is detected by using a remote sensing image after shadow compensation, so that the accuracy of zonal underground structure detection is improved and the false alarm rate is reduced compared with zonal underground structure detection using a remote sensing image without shadow compensation processing.

Abstract translation: 提供了一种基于太阳影子补偿的区域性地下结构检测方法，属于遥感技术交叉领域，物理地理和模式识别，用于在检测到阴影后进行补偿处理，提高识别率 区域地下结构检测，降低误报率。 本发明包括以下步骤：获取指定区域的DEM地形数据，通过使用DEM，太阳高度角和太阳方位角获取图像阴影位置，处理和补偿阴影区域，以及在阴影之后检测区域地下结构 区域被更正。 在本发明中，获取的DEM地形数据用于检测指定区域中的阴影; 并对被检测的阴影区域进行处理和补偿，以减少阴影区域对区域地下结构检测的影响; 最后，通过在阴影补偿后使用遥感图像来检测区域性地下结构，从而提高了区域地下结构检测的准确性，并且与使用无影像补偿的遥感图像的区域性地下结构检测相比，误报率降低 处理。

公开(公告)号：US20160363451A1

公开(公告)日：2016-12-15

申请号：US15105459

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Sufei FAN ,  Yimeng CHEN ,  Heng YAO ,  Zhengtao LI ,  Zheng WANG ,  Wei HUANG ,  Zhenghua HUANG

IPC: G01C21/20

CPC classification number: G01C21/20 ,  B64G1/24 ,  G01C3/14 ,  G01S17/023 ,  G01S17/08 ,  G01S17/875 ,  G06T7/70 ,  G06T2207/10021 ,  G06T2207/30261

Abstract: The present invention discloses a multi-sensor merging based super-close distance autonomous navigation apparatus and method. The apparatus includes a sensor subsystem, an information merging subsystem, a sensor scanning structure, and an orientation guiding structure, wherein a visible light imaging sensor and an infrared imaging sensor are combined together, and data are acquired by combining a passive measurement mode composed of an optical imaging sensor and an active measurement mode composed of a laser distance measuring sensor. Autonomous navigation is divided into three stages, that is, a remote distance stage, implemented by adopting a navigation mode where a binocular visible light imaging sensor and a binocular infrared imaging sensor are combined, a close distance stage, implemented by adopting a navigation mode where a binocular visible light imaging sensor, a binocular infrared imaging sensor and a laser distance measuring sensor array are combined, and an ultra-close distance stage, implemented by adopting a navigation mode of a laser distance measuring sensor array. Through the present invention, the field of view and the exploration range are widened, the problem of shielding existing in passive measurement is effectively solved, the precision of data measurement is ensured, and the navigation efficiency and the safety and reliability of navigation are improved.

Abstract translation: 本发明公开了一种基于多传感器合并的超近距离自主导航装置和方法。 该装置包括传感器子系统，信息合并子系统，传感器扫描结构和定向引导结构，其中可见光成像传感器和红外成像传感器组合在一起，并且通过组合由 光学成像传感器和由激光测距传感器组成的主动测量模式。 自主导航分为三个阶段，即通过采用双目可见光成像传感器和双目红外成像传感器组合的导航模式实现的远距离舞台，近距离舞台，采用导航模式 将双目可见光成像传感器，双目红外成像传感器和激光距离测量传感器阵列组合在一起，并采用激光测距传感器阵列的导航模式实现的超近距离级。 通过本发明，扩大了视野和探索范围，有效解决了被动测量中存在的屏蔽问题，确保了数据测量的精度，提高了导航效率和导航的安全可靠性。

公开(公告)号：US20160364509A1

公开(公告)日：2016-12-15

申请号：US15106693

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Wenxuan MA ,  Longwei HAO ,  Cen LU ,  Heng YAO ,  Yuehuan WANG ,  Nong SANG ,  Weidong YANG

IPC: G06F17/50 ,  G06T17/05 ,  G06T17/00 ,  G06F17/13

CPC classification number: G06F17/5009 ,  G01V99/005 ,  G06F17/13 ,  G06F17/5004 ,  G06F17/5018 ,  G06F2217/16 ,  G06T17/005 ,  G06T17/05

Abstract: The present invention discloses a method for stimulating a temperature field of a mountain mass containing a distributed underground facility under the influence of a seepage effect. The method comprises the following steps: establishing three-dimensional geometric models of the mountain mass and the underground facility by using contour line data extracted from elevation information, equating a seepage field with randomly and uniformly distributed “capillary tubes” of the mountain mass, abstracting mountain mass data to be a multi-way tree having a hierarchical structure, and precisely calculating the height of each “capillary tube” by using an algorithm of determining whether a point is in a closed graphic in computer graphics, thereby establishing a geometric model of an equivalent seepage field in the geometric model of the mountain mass; then, finding, through a programmed design, information about surfaces of the constructed underground facility and the “capillary tubes” by using a configuration file generated by ANSYS, and stimulating the temperature field of the mountain mass containing the distributed underground facility under the influence of the seepage field.

Abstract translation: 本发明公开了一种在渗透作用下刺激含有分布式地下设施的山体温度场的方法。 该方法包括以下步骤：通过使用从高程信息中提取的轮廓线数据，建立山体和地下设施的三维几何模型，将渗流场等同于山体随机均匀分布的“毛细管”，抽象 山体质量数据成为具有层次结构的多向树，并且通过使用确定点在计算机图形中的闭合图形的算法来精确地计算每个“毛细管”的高度，由此建立几何模型 山体几何模型中的等效渗流场; 然后，通过编程设计，通过使用ANSYS生成的配置文件，通过使用ANSYS生成的配置文件，找出构建的地下设施表面和“毛细管”的信息，并在包含分布式地下设施的山体温度场的影响下， 渗流场。

公开(公告)号：US20160363653A1

公开(公告)日：2016-12-15

申请号：US15106700

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Heng YAO ,  Peng JIANG ,  Sufei FAN ,  Yimeng CHEN ,  Wenxuan MA ,  Longwei HAO ,  Zhihui YANG

IPC: G01S7/48 ,  G01S17/93 ,  G01S17/02 ,  G01S17/89

CPC classification number: G01S7/4802 ,  G01S17/023 ,  G01S17/107 ,  G01S17/89 ,  G01S17/933 ,  G06K9/0063 ,  G06K9/00637

Abstract: The present invention provides an above-ground building recognition method, including the following steps: (1) taking an infrared image of the ground from the air; (2) performing detection and positioning in the infrared image to determine a suspected target; (3) aiming at the suspected target to perform laser imaging; (4) performing range gating on a laser image to filter out foreground and background interference; and (5) extracting a shape feature of the suspected target from the laser image with interference filtered out, and taking the shape feature as a target matching element to perform matching with a target shape feature template, so as to recognize the target. In the method of the present invention, laser imaging is integrated into infrared imaging target positioning, so that an advantage of a large range of infrared imaging is utilized, and three-dimensional range information of laser imaging is also utilized, thereby effectively improving the precision of positioning a building.

Abstract translation: 本发明提供了一种地面建筑识别方法，包括以下步骤：（1）从空中拍摄地面的红外图像; （2）执行红外图像的检测和定位以确定可疑目标; （3）瞄准可疑目标进行激光成像; （4）对激光图像进行范围选通，滤除前景和背景干扰; 并且（5）从具有被滤除的干扰的激光图像中提取可疑目标的形状特征，并且将形状特征作为目标匹配元素来执行与目标形状特征模板的匹配，以便识别目标。 在本发明的方法中，激光成像被集成到红外成像目标定位中，因此利用了大范围的红外成像的优点，并且还利用了激光成像的三维范围信息，从而有效地提高了精度 定位建筑物。

公开(公告)号：US20150248579A1

公开(公告)日：2015-09-03

申请号：US14714232

申请日：2015-05-15

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Li ZHANG ,  Fan PENG ,  Heng YAO ,  Cen LU ,  Yayun ZHENG ,  Yaxun WEI ,  Cong XIAO

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/60 ,  G06K9/32

CPC classification number: G06K9/00201 ,  G06K9/00208 ,  G06K9/0063 ,  G06K9/00637 ,  G06K9/00697 ,  G06K9/3241 ,  G06K9/40 ,  G06K9/6222 ,  G06T7/12 ,  G06T7/155 ,  G06T7/73 ,  G06T2207/10004 ,  G06T2207/10032 ,  G06T2207/20036 ,  G06T2207/30181 ,  G06T2207/30184 ,  G06T2207/30212

Abstract: A method for identifying and positioning a building using mountain-based outline region restraint, including steps of: (1) obtaining a real-time image, detecting a mountain-based outline of the real-time image, and extending the mountain-based outline thereby obtaining a mountain-based outline restraint region, (2) conducting morphological enhancement and background suppression on the image in the mountain-based outline restraint region, (3) conducting recursive segmentation in the mountain-based outline restraint region thereby transforming an image obtained in step (2) into a binary image, (4) extracting local regions of interest of a target building in the mountain-based outline restraint region according to the binary image, and (5) directly identifying and positioning the target building in the local regions of interest.

Abstract translation: 一种使用山地轮廓区域约束识别和定位建筑物的方法，包括以下步骤：（1）获得实时图像，检测实时图像的山地轮廓，并延伸山基轮廓 从而获得山基轮廓约束区域，（2）对山体轮廓约束区域中的图像进行形态学增强和背景抑制，（3）在山体轮廓约束区域进行递归分割，从而变换所获得的图像 在步骤（2）中成为二进制图像，（4）根据二值图像提取基于山体轮廓约束区域的目标建筑物的局部区域，并且（5）在目标建筑物中直接识别和定位 感兴趣的地区