公开(公告)号：US20150242700A1

公开(公告)日：2015-08-27

申请号：US14711755

申请日：2015-05-13

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Sufei FAN ,  Yimeng CHEN ,  Yayun ZHENG ,  Changsheng CHEN ,  Zheng WANG ,  Huan WU ,  Xudong HE

IPC: G06K9/46 ,  G06T7/00 ,  G06K9/48

CPC classification number: G06K9/4604 ,  G06K9/481 ,  G06T7/269 ,  G06T7/66 ,  G06T2200/04 ,  G06T2207/10012 ,  G06T2207/10021 ,  G06T2207/30241

Abstract: A method for estimating a rotation axis and a mass center of a spatial target based on binocular optical flows. The method includes: extracting feature points from binocular image sequences sequentially and respectively, and calculating binocular optical flows formed thereby; removing areas ineffective for reconstructing a three-dimensional movement trajectory from the binocular optical flows of the feature points, whereby obtaining effective area-constrained binocular optical flows, and reconstructing a three-dimensional movement trajectory of a spatial target; and removing areas with comparatively large errors in reconstructing three-dimensional motion vectors from the optical flows by multiple iterations, estimating a rotation axis according to a three-dimensional motion vector sequence of each of the feature points obtained thereby, obtaining a spatial equation of an estimated rotation axis by weighted average of estimated results of the feature points, and obtaining spatial coordinates of a mass center of the target according to two estimated rotation axes.

Abstract translation: 一种用于基于双目光学流量估计空间目标的旋转轴线和质量中心的方法。 该方法包括：依次分别从双目图像序列中提取特征点，并计算由此形成的双目光学流; 从特征点的双目光流中去除重建三维运动轨迹的区域，从而获得有效面积约束的双目光学流，并重建空间目标的三维运动轨迹; 以及通过多次迭代从光流重建三维运动矢量中去除具有相对较大误差的区域，根据由其获得的每个特征点的三维运动矢量序列估计旋转轴，获得空间方程 通过估计结果的特征点的加权平均值估计旋转轴，并且根据两个估计的旋转轴获得目标的质心的空间坐标。

公开(公告)号：US20160327682A1

公开(公告)日：2016-11-10

申请号：US15108175

申请日：2014-09-02

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Xiaobing DAI ,  Xiangyan LIU ,  Jianfei JI ,  Xudong HE ,  Pengcheng GAO

IPC: G01V8/10 ,  G01J3/02

CPC classification number: G01V8/10 ,  G01J3/0208 ,  G01J3/453 ,  G01J2003/2826

Abstract: The present invention relates to a multiband common-optical-path image-spectrum associated remote sensing measurement system and method. The system includes an infrared window (1), a two-dimensional rotating mirror (2), a planar reflector (3), a reflective multiband infrared lens (4), a Fourier interference spectrum module (5), an image-spectrum associated processing module (6), a power supply module (7), a refrigerating module (8), and a display module (9); the incident light enters from the infrared window (1), is reflected by the two-dimensional rotating mirror (2), and then is reflected by the planar reflector (3) to the reflective multiband infrared lens (4) and then is split by a spectroscope (42); the transmitted light is focused by means of a convergent lens and is imaged on an infrared detector (43); the reflected light is focused on an infrared optical fiber coupler (44) and enters the Fourier interference spectrum module (5) through an infrared optical fiber to form an interference pattern, and further, spectrum data is obtained through Fourier transformation; the image-spectrum associated processing module (6) effectively combines broadband spectrum imaging and non-imaging spectrum data, and controls the two-dimensional rotating mirror (2) to point to a target, thereby implementing intelligent remote sensing measurement. The present invention has capabilities of performing local scene region spectrum measurement and multi-target tracking spectrum measurement, has high speed, an appropriate data amount, and low cost.

Abstract translation: 本发明涉及一种多波段共同光路图像光谱相关遥感测量系统及方法。 该系统包括红外窗口（1），二维旋转镜（2），平面反射器（3），反射多波段红外透镜（4），傅里叶干涉光谱模块（5），图像光谱相关联 处理模块（6），电源模块（7），制冷模块（8）和显示模块（9）。 从红外线窗口（1）入射的入射光被二维旋转镜（2）反射，然后被平面反射体（3）反射到反射多波段红外线透镜（4），然后被 一个分光镜（42）; 透射光通过会聚透镜聚焦并在红外检测器（43）上成像; 反射光聚焦在红外光纤耦合器（44）上，通过红外光纤进入傅里叶干涉光谱模块（5），形成干涉图形，并通过傅里叶变换获得光谱数据; 图像频谱相关处理模块（6）有效地结合了宽带频谱成像和非成像光谱数据，并将二维旋转镜（2）控制为目标，实现智能遥感测量。 本发明具有执行局部场景频谱测量和多目标跟踪频谱测量的能力，具有高速度，适当的数据量和低成本。