JP7556649B2 - 植生状態の予測および補正 - Google Patents
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- JP7556649B2 JP7556649B2 JP2022522622A JP2022522622A JP7556649B2 JP 7556649 B2 JP7556649 B2 JP 7556649B2 JP 2022522622 A JP2022522622 A JP 2022522622A JP 2022522622 A JP2022522622 A JP 2022522622A JP 7556649 B2 JP7556649 B2 JP 7556649B2
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- G—PHYSICS
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- G06F18/20—Analysing
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- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
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- G06—COMPUTING OR CALCULATING; COUNTING
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- G06N20/00—Machine learning
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder networks
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- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
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- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
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- Life Sciences & Earth Sciences (AREA)
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- General Engineering & Computer Science (AREA)
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- Computer Vision & Pattern Recognition (AREA)
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- Computational Linguistics (AREA)
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/658,533 | 2019-10-21 | ||
| US16/658,533 US11436712B2 (en) | 2019-10-21 | 2019-10-21 | Predicting and correcting vegetation state |
| PCT/IB2020/058917 WO2021079210A1 (en) | 2019-10-21 | 2020-09-24 | Predicting and correcting vegetation state |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2022552369A JP2022552369A (ja) | 2022-12-15 |
| JPWO2021079210A5 JPWO2021079210A5 (https=) | 2022-12-22 |
| JP2022552369A5 JP2022552369A5 (https=) | 2022-12-22 |
| JP7556649B2 true JP7556649B2 (ja) | 2024-09-26 |
Family
ID=75492165
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022522622A Active JP7556649B2 (ja) | 2019-10-21 | 2020-09-24 | 植生状態の予測および補正 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11436712B2 (https=) |
| JP (1) | JP7556649B2 (https=) |
| CN (1) | CN114450715B (https=) |
| GB (1) | GB2602929B (https=) |
| WO (1) | WO2021079210A1 (https=) |
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| WO2021108639A1 (en) * | 2019-11-27 | 2021-06-03 | X Development Llc | Utility line maintenance and safety |
| WO2021154891A1 (en) | 2020-01-27 | 2021-08-05 | Rahul Saxena | System and method of intelligent vegetation management |
| US11768945B2 (en) * | 2020-04-07 | 2023-09-26 | Allstate Insurance Company | Machine learning system for determining a security vulnerability in computer software |
| WO2022036227A1 (en) * | 2020-08-13 | 2022-02-17 | Zesty.Ai, Inc. | Determining climate risk using artificial intelligence |
| WO2022125787A1 (en) | 2020-12-09 | 2022-06-16 | Zesty.Ai, Inc. | Determining 3d structure features from dsm data |
| US20220327463A1 (en) * | 2021-04-07 | 2022-10-13 | International Business Machines Corporation | Managing vegetation conditions |
| JP7641854B2 (ja) | 2021-08-19 | 2025-03-07 | ヒタチ・エナジー・リミテッド | 植生管理システム及び植生管理方法 |
| US12260464B2 (en) | 2021-09-27 | 2025-03-25 | Hexcuity Limited | System and method for automated forest inventory mapping |
| CN113868963B (zh) * | 2021-10-20 | 2022-06-28 | 中国水利水电科学研究院 | 基于机器学习的仿自然生态植被构建方法、系统及设备 |
| US20230186623A1 (en) * | 2021-12-14 | 2023-06-15 | Ping An Technology (Shenzhen) Co., Ltd. | Systems and methods for crop disease diagnosis |
| US20230316744A1 (en) * | 2022-03-31 | 2023-10-05 | Sharper Shape Oy | Method and system for remotely analysing trees |
| US20230347193A1 (en) * | 2022-04-27 | 2023-11-02 | X Development Llc | Systems and methods for minimizing wildfire ignition risk |
| US12555373B2 (en) | 2022-05-26 | 2026-02-17 | International Business Machines Corporation | Automated hazard recognition using multiparameter analysis of aerial imagery |
| US20230385702A1 (en) * | 2022-05-27 | 2023-11-30 | Raytheon Company | Data fabric for intelligent weather data selection |
| US11594015B1 (en) * | 2022-07-26 | 2023-02-28 | Finite Carbon Corporation | Detecting changes in forest composition |
| US12529654B2 (en) * | 2022-07-26 | 2026-01-20 | Landyield Holdings Llc | Detecting changes in forest composition |
| US12333801B2 (en) * | 2022-08-31 | 2025-06-17 | AIDASH Inc. | Systems and methods for identifying trees and estimating tree heights and other tree parameters |
| US12360286B2 (en) | 2022-10-14 | 2025-07-15 | Zesty.Ai, Inc. | Hail predictions using artificial intelligence |
| US12360287B2 (en) | 2022-10-14 | 2025-07-15 | Zesty.Ai, Inc. | Hail frequency predictions using artificial intelligence |
| US12536594B2 (en) | 2022-10-14 | 2026-01-27 | Zesty.Ai, Inc. | Hail severity predictions using artificial intelligence |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170032509A1 (en) | 2015-07-31 | 2017-02-02 | Accenture Global Services Limited | Inventory, growth, and risk prediction using image processing |
| WO2018047726A1 (ja) | 2016-09-07 | 2018-03-15 | ボッシュ株式会社 | 情報処理装置および情報処理システム |
| WO2018197862A2 (en) | 2017-04-24 | 2018-11-01 | Point4Uk Ltd | Determining risk posed by vegetation |
| US20180314994A1 (en) | 2017-05-01 | 2018-11-01 | International Business Machines Corporation | Directed unmanned aircraft for enhanced power outage recovery |
| CN109406412A (zh) | 2017-08-18 | 2019-03-01 | 广州极飞科技有限公司 | 一种植物健康状态监控方法及装置 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US7031927B1 (en) | 2000-04-12 | 2006-04-18 | Strategic Weather Services | System, method, and computer program product for weather and terrestrial vegetation-based water renovation and management forecasting |
| US7702597B2 (en) | 2004-04-20 | 2010-04-20 | George Mason Intellectual Properties, Inc. | Crop yield prediction using piecewise linear regression with a break point and weather and agricultural parameters |
| US7720605B2 (en) | 2007-06-22 | 2010-05-18 | Weyerhaeuser Nr Company | Identifying vegetation attributes from LiDAR data |
| CA2753542A1 (en) | 2008-11-13 | 2010-05-20 | Saint Louis University | Apparatus and method for providing environmental predictive indicators to emergency response managers |
| CN103034910B (zh) | 2012-12-03 | 2016-03-09 | 北京农业信息技术研究中心 | 基于多源信息的区域尺度病虫害预测方法 |
| US9069104B2 (en) | 2012-12-12 | 2015-06-30 | International Business Machines Corporation | Pathway management using model analysis and forecasting |
| US9131644B2 (en) | 2014-08-19 | 2015-09-15 | Iteris, Inc. | Continual crop development profiling using dynamical extended range weather forecasting with routine remotely-sensed validation imagery |
| US20160247079A1 (en) | 2015-02-20 | 2016-08-25 | Iteris, Inc. | Modeling of soil compaction and structural capacity for field trafficability by agricultural equipment from diagnosis and prediction of soil and weather conditions associated with user-provided feedback |
| US10989838B2 (en) | 2015-04-14 | 2021-04-27 | Utopus Insights, Inc. | Weather-driven multi-category infrastructure impact forecasting |
| US10755357B1 (en) * | 2015-07-17 | 2020-08-25 | State Farm Mutual Automobile Insurance Company | Aerial imaging for insurance purposes |
| CN105787457A (zh) | 2016-03-08 | 2016-07-20 | 浙江工商大学 | 一种modis卫星集成dem提高植被分类遥感精度的估算方法 |
| US10664750B2 (en) | 2016-08-10 | 2020-05-26 | Google Llc | Deep machine learning to predict and prevent adverse conditions at structural assets |
| US10586105B2 (en) * | 2016-12-30 | 2020-03-10 | International Business Machines Corporation | Method and system for crop type identification using satellite observation and weather data |
| CA3084902A1 (en) | 2017-12-12 | 2019-06-20 | Oy Arbonaut Ltd. | A method to quantify fire risk to structures |
| CN108681715A (zh) | 2018-05-18 | 2018-10-19 | 三亚中科遥感研究所 | 海南热带天然林植被型组分类方法 |
| CN109815914A (zh) * | 2019-01-28 | 2019-05-28 | 成都蝉远科技有限公司 | 一种基于植被区域识别的卷积神经网络模型训练方法及系统 |
| AU2019204376B1 (en) * | 2019-06-21 | 2020-07-02 | Curvebeam Ai Limited | Image Analysis Method and System |
-
2019
- 2019-10-21 US US16/658,533 patent/US11436712B2/en active Active
-
2020
- 2020-09-24 CN CN202080068003.2A patent/CN114450715B/zh active Active
- 2020-09-24 WO PCT/IB2020/058917 patent/WO2021079210A1/en not_active Ceased
- 2020-09-24 JP JP2022522622A patent/JP7556649B2/ja active Active
- 2020-09-24 GB GB2205196.5A patent/GB2602929B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170032509A1 (en) | 2015-07-31 | 2017-02-02 | Accenture Global Services Limited | Inventory, growth, and risk prediction using image processing |
| WO2018047726A1 (ja) | 2016-09-07 | 2018-03-15 | ボッシュ株式会社 | 情報処理装置および情報処理システム |
| WO2018197862A2 (en) | 2017-04-24 | 2018-11-01 | Point4Uk Ltd | Determining risk posed by vegetation |
| US20180314994A1 (en) | 2017-05-01 | 2018-11-01 | International Business Machines Corporation | Directed unmanned aircraft for enhanced power outage recovery |
| CN109406412A (zh) | 2017-08-18 | 2019-03-01 | 广州极飞科技有限公司 | 一种植物健康状态监控方法及装置 |
Non-Patent Citations (1)
| Title |
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| ZHANG, Caiyun et al.,Modeling Risk of Mangroves to Hurricanes: A Case Study of Hurricane Irma,Estuarine, Coastal and Shelf Science [online],Vol.224,2019年08月31日,pp.1-33,[検索日 2024.02.16] https://www.sciencedirect.com/science/article/abs/pii/S0272771419301854,DOI: 10.1016/j.ecss.2019.04.052 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2022552369A (ja) | 2022-12-15 |
| WO2021079210A1 (en) | 2021-04-29 |
| GB2602929A (en) | 2022-07-20 |
| US20210118117A1 (en) | 2021-04-22 |
| CN114450715A (zh) | 2022-05-06 |
| GB2602929B (en) | 2024-01-03 |
| US11436712B2 (en) | 2022-09-06 |
| CN114450715B (zh) | 2026-01-13 |
| GB202205196D0 (en) | 2022-05-25 |
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