Jing et al., 2021 - Google Patents
Sub-pixel accuracy evaluation of FY-3D MERSI-2 geolocation based on OLI reference imageryJing et al., 2021
- Document ID
- 14399851931208944378
- Author
- Jing Z
- Li S
- Hu X
- Tang F
- Publication year
- Publication venue
- International Journal of Remote Sensing
External Links
Snippet
The geolocation quality of satellite observation datasets is causally related to the credibility of operational products. The twice-daily global Earth observations provided by FY- 3D/MERSI-2 (FengYun-3D/MEdium Resolution Spectral Imager II) have been used to …
- 238000011156 evaluation 0 title description 22
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
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
-
- 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
- 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
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S13/00—Systems 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
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
- G01S13/9035—Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/006—Geometric correction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
-
- 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
- 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
- G06T7/00—Image analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Baltsavias et al. | High‐quality image matching and automated generation of 3D tree models | |
Li et al. | An evaluation of the use of atmospheric and BRDF correction to standardize Landsat data | |
Nikolakopoulos et al. | SRTM vs ASTER elevation products. Comparison for two regions in Crete, Greece | |
Townshend et al. | Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges | |
Helder et al. | Optimized identification of worldwide radiometric pseudo-invariant calibration sites | |
Eckert et al. | Accuracy assessment of automatically derived digital elevation models from ASTER data in mountainous terrain | |
Jiang et al. | Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data | |
Jing et al. | Sub-pixel accuracy evaluation of FY-3D MERSI-2 geolocation based on OLI reference imagery | |
Chander et al. | Radiometric and geometric assessment of data from the RapidEye constellation of satellites | |
Wang et al. | Development and validation of the Landsat-8 surface reflectance products using a MODIS-based per-pixel atmospheric correction method | |
Dech et al. | Potential and challenges of harmonizing 40 years of AVHRR data: The TIMELINE experience | |
Yeom et al. | Mapping rice area and yield in northeastern Asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite | |
Wang et al. | Removing temperature drift and temporal variation in thermal infrared images of a UAV uncooled thermal infrared imager | |
Zhang et al. | A coupled atmospheric and topographic correction algorithm for remotely sensed satellite imagery over mountainous terrain | |
Ariza et al. | Empirical line model for the atmospheric correction of sentinel-2A MSI images in the Caribbean Islands | |
Esquerdo et al. | An automatic system for AVHRR land surface product generation | |
Zhou et al. | Assessment of bidirectional reflectance effects on desert and forest for radiometric cross-calibration of satellite sensors | |
Villa et al. | Spectro-temporal reflectance surfaces: a new conceptual framework for the integration of remote-sensing data from multiple different sensors | |
Peng et al. | Study on atmospheric correction approach of Landsat-8 imageries based on 6S model and look-up table | |
Zhou et al. | Synthetic aperture radar radiometric cross calibration based on distributed targets | |
Schneider et al. | Matching of high-resolution optical data to a shaded DEM | |
CN112213750B (en) | Hyperspectral guard sheet full-spectrum pixel-by-pixel imaging angle parameter processing method and medium | |
Rumora et al. | Quality assessment of fusing Sentinel-2 and WorldView-4 imagery on Sentinel-2 spectral band values: a case study of Zagreb, Croatia | |
He et al. | Retrieval of aerosol optical thickness from HJ-1 CCD data based on MODIS-derived surface reflectance | |
Harris et al. | Radiometric homogenisation of aerial images by calibrating with satellite data |