[go: up one dir, main page]

Riembauer et al., 2021 - Google Patents

Germany-wide Sentinel-2 based land cover classification and change detection for settlement and infrastructure monitoring

Riembauer et al., 2021

View PDF
Document ID
3912693811026376913
Author
Riembauer G
Weinmann A
Xu S
Eichfuss S
Eberz C
Neteler M
Publication year
Publication venue
Proceedings of the 2021 Conference on Big Data from Space, Virtual

External Links

Snippet

Changes in settlements and infrastructure occur much faster than can be monitored by cadastral services, making it an ideal application domain for Copernicus satellite imagery. We present a methodology to derive yearly Germany-wide land cover classification maps …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/95Radar or analogous systems specially adapted for specific applications for meteorological use
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/89Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
    • G01S13/9035Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image

Similar Documents

Publication Publication Date Title
Riembauer et al. Germany-wide Sentinel-2 based land cover classification and change detection for settlement and infrastructure monitoring
Saha et al. Land cover classification using IRS LISS III image and DEM in a rugged terrain: a case study in Himalayas
Barnsley et al. Distinguishing urban land-use categories in fine spatial resolution land-cover data using a graph-based, structural pattern recognition system
Gessner et al. Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data
Barr et al. Reducing structural clutter in land cover classifications of high spatial resolution remotely-sensed images for urban land use mapping
Liu et al. Classification of airborne lidar intensity data using statistical analysis and hough transform with application to power line corridors
CN108491667B (en) PM2.5 remote sensing monitoring inversion method based on Himapari-8 AOD
CN113919226B (en) Mining vegetation ecological cumulative effect disturbance range identification method based on weight
CN105930867A (en) Data mining method based on time series luminous remote sensing image
CN104978743A (en) Multi-core parallel SAR (synthetic aperture radar) image change information real-time extraction method and extraction device
Costa et al. Introducing automatic satellite image processing into land cover mapping by photo-interpretation of airborne data
CN108647658A (en) A kind of infrared imaging detection method of high-altitude cirrus
Peterson et al. Thunderstorm cloud-type classification from space-based lightning imagers
Wan et al. Mapping annual urban change using time series Landsat and NLCD
Su et al. Tree skeleton extraction from laser scanned points
Mahmoud et al. A Framework for Improving Urban Land Cover Using Object and Pixel-Based Techniques via Remotely Sensed Data.
Shokri et al. Pointnet++ transfer learning for tree extraction from mobile LiDAR point clouds
CN107463944B (en) A kind of road information extracting method using multidate High Resolution SAR Images
Yoon et al. Development of a global operational snow analysis: The US Air Force Snow and Ice Analysis
Xu et al. Monitoring snow area and depth with integration of remote sensing and GIS
CN110175638B (en) Raise dust source monitoring method
CN120147942A (en) A natural resource dynamic monitoring method, system, medium and device based on multi-source data fusion
Yeh et al. A Comparison of Approaches to Objectively Identify Precipitation Structures within the Comma Head of Midlatitude Cyclones
Hariyono et al. Support vector machine for land cover classification using lidar data
Tien Bui et al. LAND COVER CHANGE MAPPING USING A COMBINATION OF SENTINEL-1 DATA AND MULTISPECTRAL SATELLITE IMAGERY: A CASE STUDY OF SANANDAJ COUNTY, KURDISTAN, IRAN.