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1. 发明申请

US20110149267A1 METHOD AND APPARATUS FOR ANALYZING TREE CANOPIES WITH LiDAR DATA 有权
标题翻译：用于分析具有数据的树木的方法和装置
公开(公告)号：US20110149267A1
公开(公告)日：2011-06-23
申请号：US12645348
申请日：2009-12-22
申请人： Jeffrey J. Welty
发明人： Jeffrey J. Welty
IPC分类号： G01C3/08
CPC分类号： G01B5/0035 , A01G23/00 , G01B11/24 , G01S17/00 , G01S17/88 , G01S17/89 , G06K9/0063
摘要： A system and method for analyzing a canopy of a forest by analyzing the spatial uniformity of LiDAR data point heights in a number of areas surrounding a tree top, where the areas are smaller than the expected size of the crown of the tree. In one embodiment, the spatial uniformity is quantified as a canopy closure vector based on an analysis of the LiDAR data point heights in a frequency domain. In one particular embodiment, the standard deviation of the frequency components in the cells of a number of rings centered around the average value in an FFT output matrix is used to quantify the spatial uniformity.
摘要翻译：通过分析树顶周围多个区域的LiDAR数据点高度的空间均匀性，其中区域小于树冠的预期大小，分析森林冠层的系统和方法。在一个实施例中，基于对频域中的LiDAR数据点高度的分析，空间均匀性被量化为冠盖闭合向量。在一个特定实施例中，使用以FFT输出矩阵中的平均值为中心的多个环的单元中的频率分量的标准偏差来量化空间均匀性。

2. 发明授权

US07720605B2 Identifying vegetation attributes from LiDAR data 有权
标题翻译：从LiDAR数据中识别植被属性
公开(公告)号：US07720605B2
公开(公告)日：2010-05-18
申请号：US11767084
申请日：2007-06-22
申请人： Jeffrey J Welty , Earl T Birdsall , Robert K McKinney
发明人： Jeffrey J Welty , Earl T Birdsall , Robert K McKinney
IPC分类号： G01V3/38
CPC分类号： G01S17/89 , A01G23/00 , G01S17/88
摘要： Aspects of the present invention are directed at using LiDAR data to identify attributes of vegetation. In this regard, a method is provided that identifies the location of individual items of vegetation from raw LiDAR data. In one embodiment, the method includes selecting a coordinate position represented in the LiDAR data that generated a return signal. Then, a determination is made regarding whether the selected coordinate position is inside a geographic area allocated to a previously identified item of vegetation. If the selected coordinate position is not within a geographic area allocated to a previously identified item of vegetation, the method determines that the selected coordinate position is associated with a new item of vegetation. In this instance, a digital representation of the new item of vegetation is generated.
摘要翻译：本发明的方面涉及使用LiDAR数据来识别植被的属性。在这方面，提供了一种从原始LiDAR数据中识别单个植被项目的位置的方法。在一个实施例中，该方法包括选择在生成返回信号的LiDAR数据中表示的坐标位置。然后，确定所选择的坐标位置是否在分配给先前识别的植被项目的地理区域内。如果所选择的坐标位置不在分配给先前识别的植被项目的地理区域内，则该方法确定所选择的坐标位置与新的植被项目相关联。在这种情况下，生成新的植被项目的数字表示。

3. 发明授权

US07650240B2 Estimating an attribute value using spatial interpolation and masking zones 有权
标题翻译：使用空间插值和掩蔽区域估计属性值
公开(公告)号：US07650240B2
公开(公告)日：2010-01-19
申请号：US11767039
申请日：2007-06-22
申请人： Jeffrey J Welty
发明人： Jeffrey J Welty
IPC分类号： G01V3/38
CPC分类号： G01S17/89 , G01S7/4808 , G01S17/10
摘要： Aspects of the present invention are directed at estimating the value of an attribute at a specified geographic location. In one embodiment, a method is provided that estimates the elevation at a principal point using LiDAR data that was collected from spatially related secondary points. More specifically, the method includes identifying secondary points where sample attribute data was obtained that are within a predetermined distance to the principal point where the attribute is being estimated. A secondary point may be selected and allocated a masking zone and a determination made regarding whether one or more distant secondary points are within the area of the masking zone. In this regard, more distant secondary points that are inside a masking zone may be assigned less relevance when estimating the value of the attribute.
摘要翻译：本发明的方面涉及估计特定地理位置处的属性的值。在一个实施例中，提供了使用从空间相关的次要点收集的LiDAR数据来估计主点处的高程的方法。更具体地，该方法包括识别在获得属性正在被估计的主点的预定距离内获得样本属性数据的次要点。可以选择二次点并分配掩蔽区域，并且确定关于一个或多个远程辅助点是否在掩蔽区域的区域内的确定。在这方面，当估计属性的值时，在掩蔽区内的更远的次要点可能被赋予较少的相关性。

4. 发明授权

US08775081B2 Method and apparatus for sorting LiDAR data 有权
标题翻译：排序LiDAR数据的方法和装置
公开(公告)号：US08775081B2
公开(公告)日：2014-07-08
申请号：US13245514
申请日：2011-09-26
申请人： Jeffrey J. Welty
发明人： Jeffrey J. Welty
IPC分类号： G06F19/00 , A01G1/00
CPC分类号： A01G1/00 , A01G2/00 , G06K9/00657 , G06K9/34
摘要： A programmed computer or non-transitory computer readable storage media has instructions that are executable by a processor to identify LiDAR data points associated with items of vegetation or other objects. Each LiDAR data point is tested to determine if it lies within the value of a closed surface defined for higher LiDAR points. If so, the LiDAR point is grouped with the LiDAR points associated with a previously identified item of vegetation. If not, a new item of vegetation is identified.
摘要翻译：编程计算机或非暂时性计算机可读存储介质具有可由处理器执行以识别与植物或其他物体的项目相关联的LiDAR数据点的指令。测试每个LiDAR数据点，以确定它是否位于为更高的LiDAR点定义的封闭表面的值内。如果是这样，那么这个LiDAR点就是与以前确定的植被项目相关联的LiDAR点。如果没有，则确定一个新的植被项目。

5. 发明申请

US20130080057A1 METHOD AND APPARATUS FOR SORTING LiDAR DATA 有权
标题翻译：用于分类LiDAR数据的方法和装置
公开(公告)号：US20130080057A1
公开(公告)日：2013-03-28
申请号：US13245514
申请日：2011-09-26
申请人： Jeffrey J. Welty
发明人： Jeffrey J. Welty
IPC分类号： G06F19/00
CPC分类号： A01G1/00 , A01G2/00 , G06K9/00657 , G06K9/34
摘要： A programmed computer or non-transitory computer readable storage media has instructions that are executable by a processor to identify LiDAR data points associated with items of vegetation or other objects. Each LiDAR data point is tested to determine if it lies within the value of a closed surface defined for higher LiDAR points. If so, the LiDAR point is grouped with the LiDAR points associated with a previously identified item of vegetation. If not, a new item of vegetation is identified.
摘要翻译：编程计算机或非暂时性计算机可读存储介质具有可由处理器执行以识别与植物或其他物体的项目相关联的LiDAR数据点的指令。测试每个LiDAR数据点，以确定它是否位于为更高的LiDAR点定义的封闭表面的值内。如果是这样，那么这个LiDAR点就是与以前确定的植被项目相关联的LiDAR点。如果没有，则确定一个新的植被项目。

6. 发明申请

US20110150290A1 METHOD AND APPARATUS FOR PREDICTING INFORMATION ABOUT TREES IN IMAGES 审中-公开
标题翻译：用于预测图像中的信息的方法和装置
公开(公告)号：US20110150290A1
公开(公告)日：2011-06-23
申请号：US12645325
申请日：2009-12-22
申请人： Jeffrey J. Welty
发明人： Jeffrey J. Welty
IPC分类号： G06K9/62
CPC分类号： G06K9/00657 , G06K2009/00644 , G06K2009/4657
摘要： A system for predicting a metric for trees in a forest area analyzes a spatial variation in pixel intensities in or more spectral bands in an image of the trees. The variation in pixel intensities is related to the predicted metric for the trees by a relationship determined from images of trees having ground truth data. In one embodiment, a linear regression determines the relationship between the spatial variation in pixel intensities and the metric. In one embodiment, the spatial variation in the pixel intensities in an image is determined in a frequency domain with a two-dimensional Fourier transform of the pixel intensity values.
摘要翻译：用于预测森林区域中的树的度量的系统分析树的图像中的或多个光谱带中的像素强度的空间变化。像素强度的变化通过由具有地面真实数据的树的图像确定的关系与树的预测度量相关。在一个实施例中，线性回归确定像素强度的空间变化与度量之间的关系。在一个实施例中，通过像素强度值的二维傅里叶变换，在频域中确定图像中的像素强度的空间变化。

7. 发明授权

US08538695B2 System and method for analyzing trees in LiDAR data using views 有权
标题翻译：利用视图分析LiDAR数据树的系统和方法
公开(公告)号：US08538695B2
公开(公告)日：2013-09-17
申请号：US12827933
申请日：2010-06-30
申请人： Jeffrey J. Welty
发明人： Jeffrey J. Welty
IPC分类号： G01V3/12
CPC分类号： A01G23/099
摘要： A method and apparatus for identifying individual trees in LiDAR data based on the view of a LiDAR data point. In one embodiment, the number of trees represented by a LiDAR data point cluster is estimated based on a calculated value related to the exposure to the sky of a LiDAR data point in the LiDAR data point cluster.
摘要翻译：一种用于根据LiDAR数据点的视图识别LiDAR数据中的各树的方法和装置。在一个实施例中，基于与LiDAR数据点簇中的LiDAR数据点的暴露于天空相关的计算值来估计由LiDAR数据点簇表示的树的数量。

8. 发明授权

US08537337B2 Method and apparatus for analyzing tree canopies with LiDAR data 有权
标题翻译：用LiDAR数据分析树檐的方法和装置
公开(公告)号：US08537337B2
公开(公告)日：2013-09-17
申请号：US12645348
申请日：2009-12-22
申请人： Jeffrey J. Welty
发明人： Jeffrey J. Welty
IPC分类号： G01C3/08
CPC分类号： G01B5/0035 , A01G23/00 , G01B11/24 , G01S17/00 , G01S17/88 , G01S17/89 , G06K9/0063
摘要： A system and method for analyzing a canopy of a forest by analyzing the spatial uniformity of LiDAR data point heights in a number of areas surrounding a tree top, where the areas are smaller than the expected size of the crown of the tree. In one embodiment, the spatial uniformity is quantified as a canopy closure vector based on an analysis of the LiDAR data point heights in a frequency domain. In one particular embodiment, the standard deviation of the frequency components in the cells of a number of rings centered around the average value in an FFT output matrix is used to quantify the spatial uniformity.
摘要翻译：通过分析树顶周围多个区域的LiDAR数据点高度的空间均匀性，其中区域小于树冠的预期大小，分析森林冠层的系统和方法。在一个实施例中，基于对频域中的LiDAR数据点高度的分析，空间均匀性被量化为冠盖闭合向量。在一个特定实施例中，使用以FFT输出矩阵中的平均值为中心的多个环的单元中的频率分量的标准偏差来量化空间均匀性。

9. 发明申请

US20120004847A1 SYSTEM AND METHOD FOR ANALYZING TREES IN LIDAR DATA USING VIEWS 有权
标题翻译：使用视图分析激光雷达数据中的条纹的系统和方法
公开(公告)号：US20120004847A1
公开(公告)日：2012-01-05
申请号：US12827933
申请日：2010-06-30
申请人： Jeffrey J. Welty
发明人： Jeffrey J. Welty
IPC分类号： G06F19/00
CPC分类号： A01G23/099
摘要： A method and apparatus for identifying individual trees in LiDAR data based on the view of a LiDAR data point. In one embodiment, the number of trees represented by a LiDAR data point cluster is estimated based on a calculated value related to the exposure to the sky of a LiDAR data point in the LiDAR data point cluster.
摘要翻译：一种用于根据LiDAR数据点的视图识别LiDAR数据中的各树的方法和装置。在一个实施例中，基于与LiDAR数据点簇中的LiDAR数据点的暴露于天空相关的计算值来估计由LiDAR数据点簇表示的树的数量。

10. 发明授权

US07474964B1 Identifying vegetation attributes from LiDAR data 有权
标题翻译：从LiDAR数据中识别植被属性
公开(公告)号：US07474964B1
公开(公告)日：2009-01-06
申请号：US11767050
申请日：2007-06-22
申请人： Jeffrey J Welty , Earl T Birdsall , Robert K McKinney
发明人： Jeffrey J Welty , Earl T Birdsall , Robert K McKinney
IPC分类号： G06F19/00
CPC分类号： G01S17/89 , A01G23/00 , G01S7/4802 , G01S17/88 , G06K9/00657 , G06Q10/087 , G06Q50/02
摘要： Aspects of the present invention are directed at using LiDAR data to identify attributes of vegetation. In this regard, a method is provided that allocates points to individual items of vegetation from raw LiDAR data. In one embodiment, the method includes selecting a coordinate position represented in the LiDAR data that generated a return signal. Then, a determination is made regarding whether the selected coordinate position is inside a geographic area allocated to a previously identified item of vegetation. If the selected coordinate position is not within a geographic area allocated to a previously identified item of vegetation, the method determines that the selected coordinate position is associated with a new item of vegetation. In this instance, a digital representation of the new item of vegetation is generated.
摘要翻译：本发明的方面涉及使用LiDAR数据来识别植被的属性。在这方面，提供了一种从原始LiDAR数据分配点到各植被的点的方法。在一个实施例中，该方法包括选择在生成返回信号的LiDAR数据中表示的坐标位置。然后，确定所选择的坐标位置是否在分配给先前识别的植被项目的地理区域内。如果所选择的坐标位置不在分配给先前识别的植被项目的地理区域内，则该方法确定所选择的坐标位置与新的植被项目相关联。在这种情况下，生成新的植被项目的数字表示。

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