[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhou, 2013 - Google Patents

An object-based approach for urban land cover classification: Integrating LiDAR height and intensity data

Zhou, 2013

View PDF
Document ID
5347496116495370842
Author
Zhou W
Publication year
Publication venue
IEEE Geoscience and Remote Sensing Letters

External Links

Snippet

Digital surface models (DSMs) derived from light detection and ranging (LiDAR) data have been increasingly integrated with high-resolution multispectral satellite/aerial imagery for urban land cover classification. Fewer studies, however, have investigated the usefulness of …
Continue reading at www.researchgate.net (PDF) (other versions)

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
    • 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
    • G06K9/4652—Extraction of features or characteristics of the image related to colour
    • 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
    • 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
    • G06T2207/30108—Industrial image inspection
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • 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
Zhou An object-based approach for urban land cover classification: Integrating LiDAR height and intensity data
Huang et al. Individual tree crown detection and delineation from very-high-resolution UAV images based on bias field and marker-controlled watershed segmentation algorithms
Zhou et al. An object‐oriented approach for analysing and characterizing urban landscape at the parcel level
Hirschmugl et al. Single tree detection in very high resolution remote sensing data
Zhou et al. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study
Ke et al. A comparison of three methods for automatic tree crown detection and delineation from high spatial resolution imagery
Apostol et al. Species discrimination and individual tree detection for predicting main dendrometric characteristics in mixed temperate forests by use of airborne laser scanning and ultra-high-resolution imagery
Shendryk et al. Bottom-up delineation of individual trees from full-waveform airborne laser scans in a structurally complex eucalypt forest
Huo et al. Supervised spatial classification of multispectral LiDAR data in urban areas
Zhou et al. Fusion of high spatial resolution WorldView-2 imagery and LiDAR pseudo-waveform for object-based image analysis
JP6200826B2 (en) Forest phase analysis apparatus, forest phase analysis method and program
Kuzmin et al. Automatic segment-level tree species recognition using high resolution aerial winter imagery
Ali-Sisto et al. Forest change detection by using point clouds from dense image matching together with a LiDAR-derived terrain model
Berveglieri et al. Successional stages and their evolution in tropical forests using multi-temporal photogrammetric surface models and superpixels
Bandyopadhyay et al. Classification and extraction of trees and buildings from urban scenes using discrete return LiDAR and aerial color imagery
Uzar Automatic building extraction with multi-sensor data using rule-based classification
Rahimizadeh et al. Forest structure parameter extraction using SPOT-7 satellite data by object-and pixel-based classification methods
Namikawa et al. Water body extraction from Rapideye images: An automated methodology based on hue component of color transformation from RGB to HSV model
YU et al. Object oriented land cover classification using ALS and GeoEye imagery over mining area
Sedliak et al. Classification of tree species composition using a combination of multispectral imagery and airborne laser scanning data
Yu et al. Regional sampling of forest canopy covers using UAV visible stereoscopic imagery for assessment of satellite-based products in Northeast China
Mayr et al. Mapping eroded areas on mountain grassland with terrestrial photogrammetry and object-based image analysis
Tong et al. A two-phase classification of urban vegetation using airborne LiDAR data and aerial photography
Förster et al. Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitats
Kim et al. Generation of a DTM and building detection based on an MPF through integrating airborne lidar data and aerial images