Order Independent Image Compositing

Conrad, Bielski; Soille, Pierre

doi:10.1007/11553595_132

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…This freely available imagery needs to be mosaicked to ease accuracy measurements of arbitrary HR/VHR images across the globe. Although we have developed a method for mosaicking large data sets [52], [53] and have applied it at continental scale for Europe with Landsat data [54] and IRS LISSIII plus SPOT 4/SPOT 5 imagery [55], at global level we currently use Terra-Color as our imagery reference layer.…”

Section: A Positional Accuracymentioning

confidence: 99%

A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

Pesaresi

Guo

Blaes

et al. 2013

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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383

296

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A general framework for processing high and veryhigh resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test involved the mapping of 24.3 million km² of the Earth surface spread in four continents, corresponding to an estimated population of 1.3 billion people in 2010. The resolution of the input image data ranges from 0.5 to 10 meters, collected by a heterogeneous set of platforms including satellite SPOT (2 and 5), CBERS 2B, RapidEye (2 and 4), WorldView (1 and 2), GeoEye 1, QuickBird 2, Ikonos 2, and airborne sensors. Several imaging modes were tested including panchromatic, multispectral and pan-sharpened images. A new fully automatic image information extraction, generalization and mosaic workflow is presented that is based on multiscale textural and morphological image features extraction. New image feature compression and optimization are introduced, together with new learning and classification techniques allowing for the processing of HR/VHR image data using low-resolution thematic layers as reference. A new systematic approach for quality control and validation allowing global spatial and thematic consistency checking is proposed and applied. The quality of the results are discussed by sensor, band, resolution, and eco-regions. Critical points, lessons learned and next steps are highlighted.Index Terms-Built-up density, CSL, global human settlement layer, linear regression, PANTEX, urban limits.

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Section: A Positional Accuracymentioning

confidence: 99%

A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

Pesaresi

Guo

Blaes

et al. 2013

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

383

296

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“…To ensure consistency of the geometrical quality of the scenes coming from the two different data sources, we decided to reorthorectify the IMAGE2000 scenes using a mosaic of the GLCF scenes (Bielski and Soille, 2005) as a reference. A parametric orthorectification was performed starting from the Image 2000 Landsat Data at Level 1B and a Shuttle Radar Topography Mission (SRTM) derived DEM.…”

Section: Image Datamentioning

confidence: 99%

Pan-European forest/non-forest mapping with Landsat ETM+ and CORINE Land Cover 2000 data

Pekkarinen

Lucia

Strobl

2009

ISPRS Journal of Photogrammetry and Remote Sensing

142

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“…This calls for an equivalent scheme allowing for the processing of the zones of overlap occurring in one image at a time. An efficient algorithm allowing for such a scheme will be detailed in a subsequent paper [7].…”

Section: Methodsmentioning

confidence: 99%

Morphological image compositing

Soille

2006

IEEE Trans. Pattern Anal. Mach. Intell.

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Abstract-Image mosaicking can be defined as the registration of two or more images that are then combined into a single image. Once the images have been registered to a common coordinate system, the problem amounts to the definition of a selection rule to output a unique value for all those pixels that are present in more than one image. This process is known as image compositing. In this paper, we propose a compositing procedure based on mathematical morphology and its marker-controlled segmentation paradigm. Its scope is to position seams along salient image structures so as to diminish their visibility in the output mosaic even in the absence of radiometric corrections or blending procedures. We also show that it is suited to the seamless minimization of undesirable transient objects occurring in the regions where two or more images overlap. The proposed methodology and algorithms are illustrated for the composition of satellite images minimizing cloud cover.

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Order Independent Image Compositing

Cited by 9 publications

References 5 publications

A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

Pan-European forest/non-forest mapping with Landsat ETM+ and CORINE Land Cover 2000 data

Morphological image compositing

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