AU2021103316A4 - Remote sensing image scene classification method based on automatic machine learning - Google Patents
Remote sensing image scene classification method based on automatic machine learning Download PDFInfo
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- AU2021103316A4 AU2021103316A4 AU2021103316A AU2021103316A AU2021103316A4 AU 2021103316 A4 AU2021103316 A4 AU 2021103316A4 AU 2021103316 A AU2021103316 A AU 2021103316A AU 2021103316 A AU2021103316 A AU 2021103316A AU 2021103316 A4 AU2021103316 A4 AU 2021103316A4
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- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000010801 machine learning Methods 0.000 title claims abstract description 18
- 238000013528 artificial neural network Methods 0.000 claims abstract description 81
- 238000012549 training Methods 0.000 claims abstract description 20
- 238000003062 neural network model Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000014759 maintenance of location Effects 0.000 description 2
- 230000001537 neural effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Astronomy & Astrophysics (AREA)
- Remote Sensing (AREA)
- Multimedia (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011094951.1A CN112163549B (zh) | 2020-10-14 | 2020-10-14 | 一种基于自动机器学习的遥感影像场景分类方法 |
| CN2020110949511 | 2020-10-14 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021103316A4 true AU2021103316A4 (en) | 2021-07-29 |
Family
ID=73866812
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021103316A Active AU2021103316A4 (en) | 2020-10-14 | 2021-06-12 | Remote sensing image scene classification method based on automatic machine learning |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112163549B (zh) |
| AU (1) | AU2021103316A4 (zh) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116188294B (zh) * | 2022-12-22 | 2023-09-19 | 东莞理工学院 | 用于医学图像的数据增强方法、系统、智能终端及介质 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016205406A1 (en) * | 2015-06-16 | 2016-12-22 | King Abdulaziz City Of Science And Technology | Systems and methods for enhancing synthetic aperture radar imagery |
| CN109872331A (zh) * | 2019-01-30 | 2019-06-11 | 天津大学 | 一种基于深度学习的遥感图像数据自动识别分类方法 |
| CN110728187B (zh) * | 2019-09-09 | 2022-03-04 | 武汉大学 | 一种基于容错性深度学习的遥感影像场景分类方法 |
| CN111210435B (zh) * | 2019-12-24 | 2022-10-18 | 重庆邮电大学 | 一种基于局部和全局特征增强模块的图像语义分割方法 |
| CN111401455B (zh) * | 2020-03-20 | 2023-04-18 | 中国科学院空天信息创新研究院 | 一种基于Capsules-Unet模型的遥感图像深度学习分类方法和系统 |
-
2020
- 2020-10-14 CN CN202011094951.1A patent/CN112163549B/zh active Active
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2021
- 2021-06-12 AU AU2021103316A patent/AU2021103316A4/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112163549A (zh) | 2021-01-01 |
| CN112163549B (zh) | 2022-06-10 |
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