Stereo Matching Tecniques for Cloud-top Height Retrieval

Domenico Tegolo, Francesco Isgrò, Anna Anzalone

Risultato della ricerca: Paper

2 Citazioni (Scopus)

Abstract

This paper presents an ongoing study for the estimation of the cloud-top height by using only geometrical methods. In agreement with some recent studies showing that it is possible to achieve reliable height estimations not only with the classical methods based on radiative transfer, this article includes a comparison of performances of a selected set of vision algorithms devoted to extract dense disparity maps or motion fields from Infra Red stereo image pairs. This collection includes both area-based techniques and an optical flow-based method and the comparison is accomplished by using a set of cloudy scenes selected from the Along-Track Scanning Radiometer (ATSR2) database. The first group of algorithms yields results generally comparable in terms of the measures used for the inter-comparison, while the maps from the optical flowbased method are slightly better.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2006

Fingerprint

Stereo Matching
retrieval
Retrieval
Optical flows
Radiative transfer
Radiometers
radiometers
Infrared radiation
Scanning
radiative transfer
Radiometer
Radiative Transfer
Optical Flow
optics
Infrared
scanning
Motion

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Computer Science Applications
  • Condensed Matter Physics

Cita questo

Stereo Matching Tecniques for Cloud-top Height Retrieval. / Tegolo, Domenico; Isgrò, Francesco; Anzalone, Anna.

2006.

Risultato della ricerca: Paper

@conference{a59f705af5c54164830c5090e13f729d,
title = "Stereo Matching Tecniques for Cloud-top Height Retrieval",
abstract = "This paper presents an ongoing study for the estimation of the cloud-top height by using only geometrical methods. In agreement with some recent studies showing that it is possible to achieve reliable height estimations not only with the classical methods based on radiative transfer, this article includes a comparison of performances of a selected set of vision algorithms devoted to extract dense disparity maps or motion fields from Infra Red stereo image pairs. This collection includes both area-based techniques and an optical flow-based method and the comparison is accomplished by using a set of cloudy scenes selected from the Along-Track Scanning Radiometer (ATSR2) database. The first group of algorithms yields results generally comparable in terms of the measures used for the inter-comparison, while the maps from the optical flowbased method are slightly better.",
author = "Domenico Tegolo and Francesco Isgr{\`o} and Anna Anzalone",
year = "2006",
language = "English",

}

TY - CONF

T1 - Stereo Matching Tecniques for Cloud-top Height Retrieval

AU - Tegolo, Domenico

AU - Isgrò, Francesco

AU - Anzalone, Anna

PY - 2006

Y1 - 2006

N2 - This paper presents an ongoing study for the estimation of the cloud-top height by using only geometrical methods. In agreement with some recent studies showing that it is possible to achieve reliable height estimations not only with the classical methods based on radiative transfer, this article includes a comparison of performances of a selected set of vision algorithms devoted to extract dense disparity maps or motion fields from Infra Red stereo image pairs. This collection includes both area-based techniques and an optical flow-based method and the comparison is accomplished by using a set of cloudy scenes selected from the Along-Track Scanning Radiometer (ATSR2) database. The first group of algorithms yields results generally comparable in terms of the measures used for the inter-comparison, while the maps from the optical flowbased method are slightly better.

AB - This paper presents an ongoing study for the estimation of the cloud-top height by using only geometrical methods. In agreement with some recent studies showing that it is possible to achieve reliable height estimations not only with the classical methods based on radiative transfer, this article includes a comparison of performances of a selected set of vision algorithms devoted to extract dense disparity maps or motion fields from Infra Red stereo image pairs. This collection includes both area-based techniques and an optical flow-based method and the comparison is accomplished by using a set of cloudy scenes selected from the Along-Track Scanning Radiometer (ATSR2) database. The first group of algorithms yields results generally comparable in terms of the measures used for the inter-comparison, while the maps from the optical flowbased method are slightly better.

UR - http://hdl.handle.net/10447/23601

M3 - Paper

ER -