Parmehr et al., 2014 - Google Patents
Automatic registration of optical imagery with 3D LiDAR data using statistical similarityParmehr et al., 2014
View PDF- Document ID
- 13345406902558847958
- Author
- Parmehr E
- Fraser C
- Zhang C
- Leach J
- Publication year
- Publication venue
- ISPRS Journal of Photogrammetry and Remote Sensing
External Links
Snippet
The development of robust and accurate methods for automatic registration of optical imagery and 3D LiDAR data continues to be a challenge for a variety of applications in photogrammetry, computer vision and remote sensing. This paper proposes a new …
- 230000003287 optical 0 title abstract description 61
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
- G06K9/36—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
- 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
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
-
- 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
- G06T2207/30181—Earth observation
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Parmehr et al. | Automatic registration of optical imagery with 3D LiDAR data using statistical similarity | |
US10303966B2 (en) | Method and system of image-based change detection | |
Barazzetti et al. | Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation | |
US10043097B2 (en) | Image abstraction system | |
Chen et al. | Building change detection with RGB-D map generated from UAV images | |
Kumar Mishra et al. | A review of optical imagery and airborne lidar data registration methods | |
Taylor et al. | Multi‐modal sensor calibration using a gradient orientation measure | |
Forkuo | Automatic fusion of photogrammetric imagery and laser scanner point clouds | |
Maurer et al. | Tapping into the Hexagon spy imagery database: A new automated pipeline for geomorphic change detection | |
Brook et al. | Modelling and monitoring urban built environment via multi-source integrated and fused remote sensing data | |
Becker et al. | Refinement of building fassades by integrated processing of lidar and image data | |
US20230065774A1 (en) | Computer Vision Systems and Methods for Modeling Three-Dimensional Structures Using Two-Dimensional Segments Detected in Digital Aerial Images | |
Cléri et al. | Automatic georeferencing of a heritage of old analog aerial photographs | |
Parmehr et al. | Automatic registration of optical imagery with 3d lidar data using local combined mutual information | |
Widyaningrum et al. | Comprehensive comparison of two image-based point clouds from aerial photos with airborne LiDAR for large-scale mapping | |
Avbelj et al. | Coregistration refinement of hyperspectral images and DSM: An object-based approach using spectral information | |
Wang | Automatic extraction of building outline from high resolution aerial imagery | |
Kalantar et al. | Uav and lidar image registration: A surf-based approach for ground control points selection | |
Serati et al. | Digital surface model generation from high-resolution satellite stereo imagery based on structural similarity | |
Safdarinezhad et al. | An automatic method for precise 3D registration of high resolution satellite images and Airborne LiDAR Data | |
Megahed et al. | A phase-congruency-based scene abstraction approach for 2d-3d registration of aerial optical and LiDAR images | |
Zeng | Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data | |
Potuckova | Image matching and its applications in photogrammetry | |
Castorena et al. | Automated Structural-level Alignment of Multi-view TLS and ALS Point Clouds in Forestry | |
Yadav et al. | Hybrid adjustment of UAS-based LiDAR and image data |