Gao et al., 2024 - Google Patents
Aerial Image-based Inter-day Registration for Precision AgricultureGao et al., 2024
View PDF- Document ID
- 4224591254636516079
- Author
- Gao C
- Daxinger F
- Roth L
- Maffra F
- Beardsley P
- Chli M
- Teixeira L
- Publication year
- Publication venue
- 41st IEEE International Conference on Robotics and Automation (ICRA 2024)
External Links
Snippet
Satellite imagery has traditionally been used to collect crop statistics, but its low resolution and registration accuracy limit agricultural analytics to plant stand levels and large areas. Precision agriculture seeks analytic tools at near single plant level, and this work explores …
- 238000000034 method 0 abstract description 40
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Dong et al. | 4D crop monitoring: Spatio-temporal reconstruction for agriculture | |
Li et al. | A review of computer vision technologies for plant phenotyping | |
Dong et al. | Semantic mapping for orchard environments by merging two‐sides reconstructions of tree rows | |
CN113112504B (en) | Plant point cloud data segmentation method and system | |
Romeo et al. | Crop row detection in maize fields inspired on the human visual perception | |
Avtar et al. | Unmanned aerial vehicle: Applications in agriculture and environment | |
Fasiolo et al. | Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics | |
Zhang et al. | 3D monitoring for plant growth parameters in field with a single camera by multi-view approach | |
Guan et al. | Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images | |
Xiang et al. | Field‐based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks | |
Wang et al. | Validation of a low-cost 2D laser scanner in development of a more-affordable mobile terrestrial proximal sensing system for 3D plant structure phenotyping in indoor environment | |
Liu et al. | Estimating maize seedling number with UAV RGB images and advanced image processing methods | |
Ospina et al. | Simultaneous mapping and crop row detection by fusing data from wide angle and telephoto images | |
Hu et al. | Research on a single-tree point cloud segmentation method based on UAV tilt photography and deep learning algorithm | |
de Silva et al. | Towards agricultural autonomy: crop row detection under varying field conditions using deep learning | |
CN114239756B (en) | Insect pest detection method and system | |
Biglia et al. | 3D point cloud density-based segmentation for vine rows detection and localisation | |
De Silva et al. | Deep learning‐based crop row detection for infield navigation of agri‐robots | |
Magistri et al. | Towards in-field phenotyping exploiting differentiable rendering with self-consistency loss | |
Weyler et al. | PhenoBench--A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain | |
Lyu et al. | Development of phenotyping system using low altitude UAV imagery and deep learning | |
Xiang et al. | PhenoStereo: a high-throughput stereo vision system for field-based plant phenotyping-with an application in sorghum stem diameter estimation | |
Lobefaro et al. | Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots | |
Zou et al. | Density estimation method of mature wheat based on point cloud segmentation and clustering | |
Wang et al. | The identification of straight-curved rice seedling rows for automatic row avoidance and weeding system |