公开(公告)号：US12111251B2

公开(公告)日：2024-10-08

申请号：US17597079

申请日：2020-06-25

Applicant: SONY GROUP CORPORATION

Inventor： Tetsu Ogawa

IPC: G01N21/35 ,  G01N21/84 ,  G01S17/08 ,  G06T7/00 ,  B64C39/02 ,  B64G1/66 ,  G01N21/17 ,  G01S17/89 ,  G06T5/50

CPC classification number: G01N21/35 ,  G01N21/84 ,  G01S17/08 ,  G06T7/0012 ,  B64C39/02 ,  B64G1/66 ,  G01N21/17 ,  G01N2021/1793 ,  G01N2021/1797 ,  G01N2021/3595 ,  G01N2021/8466 ,  G01S17/89 ,  G06T5/50 ,  G06T2207/10032 ,  G06T2207/30188

Abstract: There is provided an information processing apparatus including a macro measurement analysis calculation section configured to calculate detection data from a macro measurement section adapted to perform sensing at a first spatial resolution for a first measurement range for a measurement target, a micro measurement analysis calculation section configured to calculate detection data from a micro measurement section adapted to perform sensing at a second spatial resolution for a second measurement range, the second spatial resolution being higher than the first spatial resolution, the second measurement range being included in the first measurement range for the measurement target, and an inverse model calculation section configured to acquire a model parameter used for an inverse model calculation using a calculation result from the macro measurement analysis calculation section, on a basis of the detection data from the micro measurement section determined by the micro measurement analysis calculation section.

公开(公告)号：US11699286B2

公开(公告)日：2023-07-11

申请号：US16812678

申请日：2020-03-09

Applicant: Sony Corporation

Inventor： Morio Ogura ,  Hirofumi Sumi

IPC: G06V20/10 ,  H04N13/204 ,  A01G7/00 ,  G06Q50/02 ,  G01N21/31 ,  G01J3/51 ,  G06Q30/00 ,  G01N21/25 ,  G01J3/36 ,  G06T7/00 ,  G01N21/01 ,  G01N21/17 ,  G01N33/00 ,  G01N21/84 ,  G01N21/359 ,  G01J3/28 ,  H04N23/11

CPC classification number: G06V20/188 ,  A01G7/00 ,  G01J3/36 ,  G01J3/513 ,  G01N21/251 ,  G01N21/255 ,  G01N21/314 ,  G06Q30/00 ,  G06Q50/02 ,  G06T7/0004 ,  H04N13/204 ,  H04N23/11 ,  G01J2003/2826 ,  G01N21/359 ,  G01N33/0098 ,  G01N2021/0118 ,  G01N2021/1797 ,  G01N2021/3155 ,  G01N2021/8466 ,  G06T2207/30128 ,  G06T2207/30188

Abstract: The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

公开(公告)号：US20190204231A1

公开(公告)日：2019-07-04

申请号：US16326763

申请日：2017-08-18

Applicant: INSTITUT NATIONAL D'OPTIQUE

Inventor： François BABIN

IPC: G01N21/65 ,  G01N21/33 ,  G01N21/94 ,  G01J3/44

CPC classification number: G01N21/65 ,  G01J3/44 ,  G01J3/4406 ,  G01M3/18 ,  G01M3/38 ,  G01N21/33 ,  G01N21/94 ,  G01N2021/1797 ,  G01N2201/0214

Abstract: The method for determining the presence of a molecule having a Raman resonance generally comprises illuminating a sample with a first radiation beam, the first radiation beam having a first excitation wavelength being tuned to a Raman resonance of the molecule; receiving a first return signal from the sample following illumination of the sample with the first radiation beam; measuring a first intensity of the first return signal using an intensity detector; illuminating the sample with a second radiation beam, the second radiation beam lacking the first excitation wavelength and having a second excitation wavelength being different from the first excitation wavelength; receiving a second return signal from the sample following illumination of the sample with the second radiation beam; measuring a second intensity of the second return signal using an intensity detector; and determining the presence of the molecule in the sample based on the first and second intensities.

公开(公告)号：US09830514B2

公开(公告)日：2017-11-28

申请号：US14142341

申请日：2013-12-27

Applicant: WEYERHAEUSER NR COMPANY

Inventor： Zhenkui Ma ,  Yuzhen Li

IPC: G06K9/46 ,  G06K9/00 ,  G01N21/17

CPC classification number: G06K9/00657 ,  G01N21/17 ,  G01N2021/1797

Abstract: A system for analyzing remotely sensed photos of a forest or other areas of interest uses a computer system to increase the variation in NIR data having values that represent items of interest. In one embodiment, a computer system applies a stretching function to the NIR data to increase their variation. The objective spectral stretched NIR data is used to differentiate different types of vegetation in the remotely sensed image. Objective-based Vegetation Index (OVI) values are calculated from the objective spectral stretched NIR data that allow different types of vegetation to be distinguished. In one embodiment, the OVI values are used to differentiate hardwoods from conifers in a digital aerial photo of a forest.

公开(公告)号：US20150186727A1

公开(公告)日：2015-07-02

申请号：US14142341

申请日：2013-12-27

Applicant: WEYERHAEUSER NR COMPANY

Inventor： Zhenkui Ma ,  Yuzhen Li

IPC: G06K9/00 ,  G01N21/17

CPC classification number: G06K9/00657 ,  G01N21/17 ,  G01N2021/1797

Abstract: A system for analyzing remotely sensed photos of a forest or other areas of interest uses a computer system to increase the variation in NIR data having values that represent items of interest. In one embodiment, a computer system applies a stretching function to the NIR data to increase their variation. The objective spectral stretched NIR data is used to differentiate different types of vegetation in the remotely sensed image. Objective-based Vegetation Index (OVI) values are calculated from the objective spectral stretched NIR data that allow different types of vegetation to be distinguished. In one embodiment, the OVI values are used to differentiate hardwoods from conifers in a digital aerial photo of a forest.

Abstract translation: 用于分析森林或其他感兴趣的感兴趣区域的遥感照片的系统使用计算机系统来增加具有代表感兴趣项目的值的NIR数据的变化。 在一个实施例中，计算机系统将拉伸功能应用于NIR数据以增加其变化。 目标光谱拉伸NIR数据用于区分遥感影像中不同类型的植被。 基于目标的植被指数（OVI）值是根据允许不同类型植被区分的客观光谱拉伸NIR数据计算的。 在一个实施例中，OVI值用于区分森林数字航空照片中的硬木与针叶树。

公开(公告)号：US06822742B1

公开(公告)日：2004-11-23

申请号：US10740879

申请日：2003-12-19

Applicant: Hooshmand M. Kalayeh ,  Gustavo R. Paz-Pujalt ,  John P. Spoonhower

Inventor： Hooshmand M. Kalayeh ,  Gustavo R. Paz-Pujalt ,  John P. Spoonhower

IPC: G01N2161

CPC classification number: G01N21/3504 ,  G01N21/31 ,  G01N21/39 ,  G01N33/0047 ,  G01N2021/1793 ,  G01N2021/1797 ,  G01N2021/394

Abstract: A system for remote quantitative detection of fluid leaks from a natural gas or oil pipeline by use of an airborne platform; including at least one laser light source for nearly simultaneous illuminating two or more target fluids and a background, wherein the two or more target fluids are characterized by two or more absorption wavelengths, and wherein the background has a different wavelength than either of the two or more target fluids. The illumination source is pointed based on a positioning system while in a geometric area along a path two or more target fluids are scanned for using the illumination sources. A signal detector detects the two or more target fluids using quantitative signal processing. Also included are a controller, a path planning and path finding tool for the positioning of the airborne platform, and a communicator for communicating the presence of the detected leak.

Abstract translation: 用于通过使用空中平台从天然气或石油管道远程定量检测流体泄漏的系统; 包括用于几乎同时照射两种或更多种目标流体和背景的至少一种激光源，其中所述两种或更多种目标流体的特征在于两个或更多个吸收波长，并且其中背景具有不同于两个或更多个目标流体中的任一个的波长 更多的目标液体。 照明源基于定位系统被指向，而沿着路径的几何区域中，扫描两个或更多个目标流体以使用照明源。 信号检测器使用定量信号处理来检测两个或更多个目标流体。 还包括用于定位机载平台的控制器，路径规划和路径查找工具，以及用于传达检测到的泄漏的存在的通信器。

公开(公告)号：US06466321B1

公开(公告)日：2002-10-15

申请号：US09595023

申请日：2000-06-16

Applicant: Satoru Satake ,  Yukio Hosaka ,  Hideharu Maruyama ,  Nobuhiko Nakamura

Inventor： Satoru Satake ,  Yukio Hosaka ,  Hideharu Maruyama ,  Nobuhiko Nakamura

IPC: G01J351

CPC classification number: G01N21/3563 ,  G01N2021/1797 ,  G01N2021/8466 ,  G06T7/44 ,  G06T2207/30188

Abstract: From the crop of a predetermined area in a plant field under exposure to natural light, a reflectivity of the light having relation to crop information such as nitrogen content rate is measured by a camera; the crop information as first crop information is obtained from the first crop related formula established in advance for obtaining the crop information from the reflectivity; light is irradiated on crop leaf blades in the same area as the predetermined area and an amount of the light is measured; the crop information as second crop information is obtained from the second crop related formula established in advance for obtaining the crop information from the amount of the light; differences are calculated from the first crop information and the second crop information; the first crop information is obtained from the unknown crop in the predetermined area within the crop field of the same area; the first crop information is corrected based on the differences; and the nutritious diagnosis of the crop in the field is conducted by the corrected first crop information. In conducting diagnosis of crop by measuring the reflection light amount from the crop, since compensation or correction is performed, no great errors occur caused by differences in the measurement locations and the planting densities, and the diagnosis of the crop is simple and easy and, more over, the precision in the measuring is enhanced.

Abstract translation: 在暴露于自然光下的植物场中的预定区域的作物中，通过照相机测量与作物信息（如含氮量）有关的光的反射率; 作物信息作为第一作物信息是从预先建立的用于从反射率获得作物信息的第一作物相关公式获得的; 光照射在与预定面积相同的区域中的作物叶片上，并测量光量; 作为第二作物信息的作物信息从预先确定的用于从光量获得作物信息的第二作物相关公式获得; 差异由第一作物信息和第二作物信息计算; 第一作物信息从相同区域的作物田中的预定区域中的未知作物获得; 基于差异来校正第一作物信息; 并且通过校正的第一作物信息进行田间作物的营养诊断。 在通过测量作物的反射光量进行作物的诊断时，由于进行了补偿或校正，因测量位置和种植密度的差异而不会发生大的错误，并且作物的诊断简单易行， 更重要的是，测量的精度得到提高。

公开(公告)号：US11875562B2

公开(公告)日：2024-01-16

申请号：US17713639

申请日：2022-04-05

Applicant: Sony Group Corporation

Inventor： Morio Ogura ,  Hirofumi Sumi

IPC: G06V20/10 ,  H04N13/204 ,  A01G7/00 ,  G06Q50/02 ,  G01N21/31 ,  G01J3/51 ,  G06Q30/00 ,  G01N21/25 ,  G01J3/36 ,  H04N23/11 ,  G06T7/00 ,  G01N21/01 ,  G01N21/17 ,  G01N33/00 ,  G01N21/84 ,  G01N21/359 ,  G01J3/28

CPC classification number: G06V20/188 ,  A01G7/00 ,  G01J3/36 ,  G01J3/513 ,  G01N21/251 ,  G01N21/255 ,  G01N21/314 ,  G06Q30/00 ,  G06Q50/02 ,  G06T7/0004 ,  H04N13/204 ,  H04N23/11 ,  G01J2003/2826 ,  G01N21/359 ,  G01N33/0098 ,  G01N2021/0118 ,  G01N2021/1797 ,  G01N2021/3155 ,  G01N2021/8466 ,  G06T2207/30128 ,  G06T2207/30188

Abstract: The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

公开(公告)号：US20190162855A1

公开(公告)日：2019-05-30

申请号：US16184686

申请日：2018-11-08

Applicant: AGERpoint, Inc.

Inventor： K. Thomas McPeek

IPC: G01S17/89 ,  A01D41/127 ,  G01N33/02 ,  G01S7/486 ,  G01C21/16 ,  G01S17/02 ,  G01N33/00 ,  G01F22/00

CPC classification number: G01S17/89 ,  A01B79/005 ,  A01D41/127 ,  A01D41/1277 ,  A01G22/00 ,  G01C21/165 ,  G01F22/00 ,  G01N33/00 ,  G01N33/0098 ,  G01N33/025 ,  G01N2021/1797 ,  G01S7/4865 ,  G01S13/867 ,  G01S17/023 ,  G01S17/88 ,  G06K9/00

Abstract: Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server. The post-processing server may process the geodetic position data for errors which may be used for geo-referencing the fused data.

公开(公告)号：US08065095B2

公开(公告)日：2011-11-22

申请号：US12255854

申请日：2008-10-22

Applicant: Douglas A. Rekenthaler ,  Arsen R. Hajian ,  Douglas G. Currie ,  Andrei V. Smirnov

Inventor： Douglas A. Rekenthaler ,  Arsen R. Hajian ,  Douglas G. Currie ,  Andrei V. Smirnov

IPC: G06F19/00

CPC classification number: G01N22/00 ,  G01N21/31 ,  G01N21/3518 ,  G01N2021/1793 ,  G01N2021/1797 ,  G01N2021/3513 ,  G01N2021/3536 ,  G01N2021/3595

Abstract: A precision molecular and motion sensor utilizing a Dispersed Fourier Transform Spectrometer to remotely sense targets. Remote sensing is conducted at various ranges, against various ambient backgrounds, to detect, classify, identify, characterize, and discriminate targets. A Dispersed Fourier Transform Spectrometer is expanded by modification and augmentation of existing optical, mechanical, and software components to enable basic terrestrial use while providing specific optimization for various applications which are designed with emphasis on the sensitivity of the Dispersed Fourier Transform Spectrometer.

Abstract translation: 利用分散傅里叶变换光谱仪进行远程感测目标的精密分子和运动传感器。 在各种范围内，针对各种环境背景进行遥感，以检测，分类，识别，表征和区分目标。 通过修改和增加现有的光学，机械和软件组件来扩展分散傅里叶变换光谱仪，以实现基本的陆地使用，同时为分散傅里叶变换光谱仪的灵敏度设计的各种应用提供特定的优化。