2005
DOI: 10.1109/tgrs.2005.847793
|View full text |Cite
|
Sign up to set email alerts
|

Direct and inverse radiative transfer solutions for visible and near-infrared hyperspectral imagery

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
48
0

Year Published

2008
2008
2023
2023

Publication Types

Select...
7
2

Relationship

2
7

Authors

Journals

citations
Cited by 71 publications
(50 citation statements)
references
References 12 publications
0
48
0
Order By: Relevance
“…COMANCHE is a radiative transfer model used to solve Eq. (1) (Miesch et al, 2005). COMANCHE uses an analytical formulation of the upwelling radiance at the sensor level, in which the atmospheric parameters are independent of the ground parameters.…”
Section: Study Areamentioning
confidence: 99%
See 1 more Smart Citation
“…COMANCHE is a radiative transfer model used to solve Eq. (1) (Miesch et al, 2005). COMANCHE uses an analytical formulation of the upwelling radiance at the sensor level, in which the atmospheric parameters are independent of the ground parameters.…”
Section: Study Areamentioning
confidence: 99%
“…From the airborne radiances (L flight_AISA_5m ), the simulated TOA radiances (L TOA_xm ) described in Sections 3.1 and 3.2 and the knowledge of the atmospheric conditions, the surface reflectance, ρ, was retrieved using the atmosphere compensation tool COCHISE, which is an inverse radiative transfer model (Miesch et al, 2005) (Fig. 2), based on the following equation:…”
Section: Hyperspectral Reflectance Datamentioning
confidence: 99%
“…Inde nos [11] landscapes with a homogeneous environment. Although COMANCHE [21,22] offers improvements by better modeling the Earth-atmosphere coupling irradiance using Monte Carlo methods which allow considering complex heterogeneous landscapes, the flat surface assumption still remains. For urban areas, the 3D structure of the landscapes needs to be taken into account.…”
Section: Figure Spatialmentioning
confidence: 99%
“…Images acquired by these hyperspectral sensors provide greater details on the spectral variation of the targets than those acquired by conventional multispectral systems [4][5][6]. Despite these significant improvements broadened the potential of spectral-based applications, it still has challenges associated with this technology, including those associated with "spatial stray light", which is also referred to as lens flare or veiling glare [7,8].…”
Section: Introductionmentioning
confidence: 99%