ICARE: A physically-based model to correct atmospheric and geometric effects from high spatial and spectral remote sensing images over 3D urban areas

Lachérade, Sophie; Miesch, Christophe; Boldo, Didier; Briottet, Xavier; Valorge, C.; Men, Hervé Le

doi:10.1007/s00703-008-0316-5

Cited by 31 publications

(23 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For the simulation of an urban scene, additional BRDF effects have to be taken into account by using a high resolution surface model of the city. This enables the retrieval of surface reflectance by considering the complex radiative transfer processes due to the urban structure [122,170] and thus, helps to better understand the spectral mixture characteristics of an urban EnMAP HSI pixel.…”

Section: Discussionmentioning

confidence: 99%

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

et al. 2011

View full text Add to dashboard Cite

With urban populations and their footprints growing globally, the need to assess the dynamics of the urban environment increases. Remote sensing is one approach that can analyze these developments quantitatively with respect to spatially and temporally large scale changes. With the 2015 launch of the spaceborne EnMAP mission, a new hyperspectral sensor with high signal-to-noise ratio at medium spatial resolution, and a 21 day global revisit capability will become available. This paper presents the results of a literature survey on existing applications and image analysis techniques in the context of urban remote sensing in order to identify and outline potential contributions of the future EnMAP mission. Regarding urban applications, four frequently addressed topics have been identified: urban development and planning, urban growth assessment, risk and vulnerability assessment and urban climate. The requirements of four application fields and associated image processing techniques used to retrieve desired parameters and create geo-information products have been reviewed. As a result, we identified promising research directions enabling the use of EnMAP for urban studies. First and foremost, research is required to analyze the spectral information content of an EnMAP pixel used to support material-based land cover mapping approaches. This information can subsequently be used to improve urban indicators, such as imperviousness. Second, we identified the global monitoring of urban areas as a promising field of investigation taking advantage of EnMAP's spatial coverage and revisit capability.Remote Sens. 2011, 3 1818However, owing to the limitations of EnMAPs spatial resolution for urban applications, research should also focus on hyperspectral resolution enhancement to enable retrieving material information on sub-pixel level.

show abstract

Section: Discussionmentioning

confidence: 99%

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

et al. 2011

View full text Add to dashboard Cite

show abstract

“…The importance of reflections decreases also with the square of the distance of the reflecting surface. Lachérade et al (2008) show that it may be neglected after two reflections.…”

Section: The Specific Case Of Urban Terrestrial Imagesmentioning

confidence: 96%

“…A physical modelization of the different radiance terms in urban images has been proposed by Miesch et al (2000). Using multi-view aerial images, Martinoty (2005) uses the same modelization for classification of roof materials with BRDF parameters as criteria, and Lachérade et al (2008) estimates the albedo (in the Lambertian case) for accurate synthesis of satellite images under any atmospheric conditions.…”

Section: Related Workmentioning

confidence: 99%

“…This implies that the BRDF does not depend on the angles of incidence and reflection, so it makes it possible to compute the irradiance on each surface without saving the information of incident angle for each ray. This might be very convenient for further inversion (Lachérade et al, 2008). Unfortunately, the Lambertian hypothesis is no longer valid when the image has a resolution of a few centimeters (Martinoty, 2005).…”

Section: The Specific Case Of Urban Terrestrial Imagesmentioning

confidence: 99%

See 1 more Smart Citation

Reflectance Estimation From Urban Terrestrial Images: Validation of a Symbolic Ray-Tracing Method on Synthetic Data

Coubard

Brédif²,

Paparoditis³

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

View full text Add to dashboard Cite

ABSTRACT:Terrestrial geolocalized images are nowadays widely used on the Internet, mainly in urban areas, through immersion services such as Google Street View. On the long run, we seek to enhance the visualization of these images; for that purpose, radiometric corrections must be performed to free them from illumination conditions at the time of acquisition. Given the simultaneously acquired 3D geometric model of the scene with LIDAR or vision techniques, we face an inverse problem where the illumination and the geometry of the scene are known and the reflectance of the scene is to be estimated. Our main contribution is the introduction of a symbolic ray-tracing rendering to generate parametric images, for quick evaluation and comparison with the acquired images. The proposed approach is then based on an iterative estimation of the reflectance parameters of the materials, using a single rendering pre-processing. We validate the method on synthetic data with linear BRDF models and discuss the limitations of the proposed approach with more general non-linear BRDF models.

show abstract

“…To devel radiance me n such com Some radiat codes like 6 s. 2011, 3 tion dy of urban ncentrated in [1] [5][6][7][8]. The a the visible y of urban [10], Ikon ping at the al [16][17][18].…”

Section: Figure Spatialmentioning

confidence: 99%

AMARTIS v2: 3D Radiative Transfer Code in the [0.4; 2.5 µm] Spectral Domain Dedicated to Urban Areas

Thomas

Doz

Briottet³

et al. 2011

Remote Sensing

View full text Add to dashboard Cite

Abstract:The availability of new very high spatial resolution sensors has for the past few years allowed a precise description of urban areas, and thus the settlement of specific ground or atmosphere characterization methods. However, in order to develop such techniques, a radiative transfer tool dedicated to such an area is necessary. AMARTIS v2 is a new radiative transfer code derived from the radiative transfer code AMARTIS specifically dedicated to urban areas. It allows to simulate airborne and spaceborne multiangular observations of 3D scenes in the [0.4; 2.5µm] domain with the ground's geometry, urban materials optical properties, atmospheric modeling and sensor characteristics entirely defined by the user. After a general presentation of AMARTIS v2 and a description of the performed calculations, results of radiometric intercomparisons with other radiative transfer codes are presented and the new offered potentials are illustrated with four realistic examples, representative of current issues in urban areas remote sensing.

show abstract

ICARE: A physically-based model to correct atmospheric and geometric effects from high spatial and spectral remote sensing images over 3D urban areas

Cited by 31 publications

References 15 publications

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

Reflectance Estimation From Urban Terrestrial Images: Validation of a Symbolic Ray-Tracing Method on Synthetic Data

AMARTIS v2: 3D Radiative Transfer Code in the [0.4; 2.5 µm] Spectral Domain Dedicated to Urban Areas

Contact Info

Product

Resources

About