Nothing Special   »   [go: up one dir, main page]

Li et al., 2023 - Google Patents

3DCentripetalNet: Building height retrieval from monocular remote sensing imagery

Li et al., 2023

View HTML
Document ID
8779269424675454001
Author
Li Q
Mou L
Hua Y
Shi Y
Chen S
Sun Y
Zhu X
Publication year
Publication venue
International Journal of Applied Earth Observation and Geoinformation

External Links

Snippet

Abstract Three-dimensional (3D) building structures are vital to understanding urban dynamics. Monocular remote sensing imagery is a cost-effective data source for large-scale building height retrieval when compared to LiDAR data and multi-view imagery. Existing …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

    • 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
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • 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
    • G06T2207/10024—Color 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
    • G06K9/00624—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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • 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
    • G06K9/34—Segmentation of touching or overlapping patterns in the image field
    • G06K9/342—Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
    • 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
    • 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
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • 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
    • 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
Guo et al. A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery
Yu et al. Automatic 3D building reconstruction from multi-view aerial images with deep learning
Chen et al. Road extraction in remote sensing data: A survey
Vargas-Muñoz et al. Correcting rural building annotations in OpenStreetMap using convolutional neural networks
CN107067405B (en) Remote sensing image segmentation method based on scale optimization
Aytekın et al. Unsupervised building detection in complex urban environments from multispectral satellite imagery
Gui et al. Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto
Li et al. 3DCentripetalNet: Building height retrieval from monocular remote sensing imagery
Bui et al. Deep learning for landslide recognition in satellite architecture
Liu et al. Survey of road extraction methods in remote sensing images based on deep learning
Amo-Boateng et al. Instance segmentation scheme for roofs in rural areas based on Mask R-CNN
Bu et al. Mask-CDNet: A mask based pixel change detection network
Li et al. Unsupervised road extraction via a Gaussian mixture model with object-based features
Li et al. An aerial image segmentation approach based on enhanced multi-scale convolutional neural network
Liebel et al. A generalized multi-task learning approach to stereo DSM filtering in urban areas
Chen et al. Leveraging Chinese GaoFen-7 imagery for high-resolution building height estimation in multiple cities
Gao et al. Road extraction using a dual attention dilated-linknet based on satellite images and floating vehicle trajectory data
Sun et al. Building outline extraction from aerial imagery and digital surface model with a frame field learning framework
Senthilnath et al. Automatic road extraction using high resolution satellite image based on texture progressive analysis and normalized cut method
Tao et al. An efficient 3D object detection method based on fast guided anchor stereo RCNN
Ruiz-Lendínez et al. Deep learning methods applied to digital elevation models: state of the art
Schuegraf et al. PLANES4LOD2: Reconstruction of LoD-2 building models using a depth attention-based fully convolutional neural network
Zhang et al. Swcare: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images
Schuegraf et al. Deep learning for the automatic division of building constructions into sections on remote sensing images
Tejeswari et al. Building footprint extraction from space-borne imagery using deep neural networks