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

Simpson et al., 2001 - Google Patents

Improved cloud detection in AVHRR daytime and night-time scenes over the ocean

Simpson et al., 2001

Document ID
11672687397673207146
Author
Simpson J
McIntire T
Stitt J
Hufford G
Publication year
Publication venue
International Journal of Remote Sensing

External Links

Snippet

Accurate cloud detection is a requirement of many geophysical applications that use visible and infrared satellite data (eg cloud climatologies, multichannel sea surface temperature (MCSST)). Unfortunately, a significant source of residual error in such satellite-based …
Continue reading at www.tandfonline.com (other versions)

Classifications

    • 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
    • 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • 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
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Similar Documents

Publication Publication Date Title
Simpson et al. A procedure for the detection and removal of cloud shadow from AVHRR data over land
Stowe et al. Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the Advanced Very High Resolution Radiometer
Simpson et al. Improved cloud detection for daytime AVHRR scenes over land
Hagihara et al. Development of a combined CloudSat‐CALIPSO cloud mask to show global cloud distribution
Li et al. High-spatial-resolution surface and cloud-type classification from MODIS multispectral band measurements
Simpson et al. Improved estimates of the areal extent of snow cover from AVHRR data
Nakajima et al. Theoretical basis of the algorithms and early phase results of the GCOM-C (Shikisai) SGLI cloud products
Pincus et al. Albedo bias and the horizontal variability of clouds in subtropical marine boundary layers: Observations from ships and satellites
Simpson et al. Cloud shadow detection under arbitrary viewing and illumination conditions
Aldenhoff et al. Comparison of ice/water classification in Fram Strait from C-and L-band SAR imagery
Simpson et al. An automated cloud screening algorithm for daytime advanced very high resolution radiometer imagery
Wilson et al. Enhancing a simple MODIS cloud mask algorithm for the Landsat data continuity mission
Zhao Asian dust detection from the satellite observations of moderate resolution imaging spectroradiometer (MODIS)
Zhang et al. A robust approach for object-based detection and radiometric characterization of cloud shadow using haze optimized transformation
Kafrawy et al. Performance evaluation of shoreline extraction methods based on remote sensing data
Simpson et al. Improved cloud detection in AVHRR daytime and night-time scenes over the ocean
Uddstrom et al. A Bayesian cloud mask for sea surface temperature retrieval
Wang et al. A cloud detection scheme for the Chinese Carbon Dioxide Observation Satellite (TANSAT)
Lee et al. New approach for snow cover detection through spectral pattern recognition with MODIS data
Amin et al. Optical algorithm for cloud shadow detection over water
Venkatakrishnamoorthy et al. Cloud enhancement of NOAA multispectral images by using independent component analysis and principal component analysis for sustainable systems
Simpson et al. Improved cloud detection in GOES scenes over the oceans
Simpson et al. Improved cloud detection in along track scanning radiometer (ATSR) data over the ocean
Chen et al. Cloud mask over snow‐/ice‐covered areas for the GCOM‐C1/SGLI cryosphere mission: Validations over Greenland
Simpson et al. Improved cloud top height retrieval under arbitrary viewing and illumination conditions using AVHRR data