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

Arundel et al., 2018 - Google Patents

The effect of resolution on terrain feature extraction

Arundel et al., 2018

View PDF
Document ID
6178860215778647389
Author
Arundel S
Li W
Zhou X
Publication year

External Links

Snippet

Recent increase in the production of high-resolution digital elevation models (DEMs) from lidar data has led to interest in their use for terrain mapping. Although the impact of different resolutions has been studied relative to terrain characteristics like roughness, slope and …
Continue reading at peerj.com (PDF) (other versions)

Classifications

    • 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
    • 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
    • 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
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
    • G06K9/00697—Outdoor scenes
    • G06K9/00704—Urban scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G06T11/206—Drawing of charts or graphs
    • 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
    • G06T2207/30—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
    • G06T2207/10—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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases

Similar Documents

Publication Publication Date Title
Davis et al. Automated mound detection using lidar and object-based image analysis in Beaufort County, South Carolina
Freeland et al. Automated feature extraction for prospection and analysis of monumental earthworks from aerial LiDAR in the Kingdom of Tonga
Hengl et al. Geomorphometry: concepts, software, applications
Klinkenberg et al. The fractal properties of topography: a comparison of methods
Davis et al. A comparison of automated object extraction methods for mound and shell-ring identification in coastal South Carolina
Dong Automated measurement of sand dune migration using multi-temporal lidar data and GIS
Mao et al. Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine
Stanchev et al. Integrating GIS and high resolution orthophoto images for the development of a geomorphic shoreline classification and risk assessment—a case study of cliff/bluff erosion along the Bulgarian coast
Akay et al. UAV-based evaluation of morphological changes induced by extreme rainfall events in meandering rivers
Harrower et al. Aksumite settlement patterns: Site size hierarchies and spatial clustering
Arundel et al. The effect of resolution on terrain feature extraction
Anemone et al. GIS and paleoanthropology: Incorporating new approaches from the geospatial sciences in the analysis of primate and human evolution
Qiu et al. Sinkhole susceptibility assessment based on morphological, imagery, and contextual attributes derived from GIS and imagery data
Schaffer et al. Challenges and possible approaches for using GIS as a tool in historical geography landscape research: A meta-analysis review
Thompson et al. A synoptic climatology of potential seiche‐inducing winds in a large intermontane lake: Quesnel Lake, British Columbia, Canada
Łysko et al. CCMORPH—Coastal cliffs morphology analysis toolbox
Shanganlall et al. A Coastal Susceptibility Index Assessment of KwaZulu-Natal, East Coast of South Africa
Chimi et al. Assessment of Land Use/Cover Change and Urban Expansion Using Remote Sensing and GIS: A Case Study in Phuentsholing Municipality, Chukha, Bhutan
Elimy et al. Land Use/Land Cover Change Detection Analysis for Eastern Nile Delta Fringes, Egypt
Terefenko et al. CCMORPH v2. 0–New coastal cliffs morphology analysis and visualization toolbox
Sorrentino et al. A GIS-based geostatistical approach for palaeo-environmental reconstructions of coastal areas: the case of the Cilento promontory (southern Italy)
Fischer et al. An open-source GIS approach to understanding dunefield morphologic variability at Kati Thanda (Lake Eyre), Central Australia
Qi et al. GIS-and machine learning—based modeling of the potential distribution of broadleaved deciduous forest in the Chinese Loess Plateau
Popa et al. EFFECTS OF DEFORESTATION ON FLOODING IN THE MOLDOVA RIVER BASIN.
Lipo et al. Automated mound detection using LiDAR and Object-Based Image Analysis in Beaufort County, SC