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Cloud screening in IRS-P4 OCM satellite data: potential of spatial coherence method in the absence of thermal channel information / S.K. Nair in Remote sensing of environment, vol 90 n° 2 (30/03/2004)
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Titre : Cloud screening in IRS-P4 OCM satellite data: potential of spatial coherence method in the absence of thermal channel information Type de document : Article/Communication Auteurs : S.K. Nair, Auteur ; K. Rajeev, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 259 - 267 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande visible
[Termes IGN] détection
[Termes IGN] image IRS-OCM
[Termes IGN] image optique
[Termes IGN] image Seawifs
[Termes IGN] nébulosité
[Termes IGN] pixel
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] seuillage d'imageRésumé : (Auteur) Cloud screening of satellite data for the remote sensing of atmospheric aerosols, ocean sediments, chlorophyll, and phytoplankton in the marine environment is a major probleme in the absence of information from thermal channel. This is particularly the case with the data from some of the highly potential satellite sensors such as the Ocean Colour Monitor (OCM-on broad the Indian Remote Sensing Satellite, IRS-P4) and the SeaWiFS. Two main tests conventionally used for cloud screening of data from such satellite sensors are the threshold method applied to visible and near-IR bands and the visible to near-IR channel ratio method. These methods do not have the potential to eliminate the pixels with a small cloud fractions, leading to overestimation of the aerosol optical depth (AOD) derived from satellite data, and might also identify the pixels with high values of AOD as cloudy. The purpose of this paper is to study the potential of Spatial Coherence Tests (SCT) applied to the data from the near-IR bands for cloud screening of satellite data over the oceanic environment. We use here the data from IRS-P4 OCM. Though more computationally intensive, the SCT does not suffer from the serious limitations of the threshold and channel ratio methods and is found to be superior in identifying the clear sky pixels that are not affected by clouds. Although the SCT applied to near-IR channel data may be overestimating the number of cloud affected pixels, it neither leads to overestimation of AOD nor identifies the pixels with high AOD values as cloudy. Numéro de notice : A2004-143 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.12.010 En ligne : https://doi.org/10.1016/j.rse.2003.12.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26670
in Remote sensing of environment > vol 90 n° 2 (30/03/2004) . - pp 259 - 267[article]Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
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Titre : Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison Type de document : Article/Communication Auteurs : H. Liu, Auteur ; Q. Zhou, Auteur Année de publication : 2004 Article en page(s) : pp 1037 - 1050 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification
[Termes IGN] détection de changement
[Termes IGN] estimation de précision
[Termes IGN] image multitemporelle
[Termes IGN] Kappa de Cohen
[Termes IGN] zone urbaineRésumé : (Auteur) Accuracy assessment for remote sensing classification is commonly based on using an error matrix, or confusion table, which needs reference, or 'ground truthing', data to support. When undertaking change detection using numerous multi-temporal images, it is often difficult to make the accuracy assessment by the 'traditional' method, which typically requires simultaneous collection of reference data. In this study, we propose a new approach by arguing change rationality with post-classification comparison. Multitemporal Landsat TM images were classified for land use in an urban fringe area of Beijing, China and the post-classification comparison of these classified images shows change trajectories through the time series. These change trajectories were then analysed by assessing their rationality against a set of logical rules to separate cases of 'real land use change' and possible classification errors. The analvsis results show that the overall accuracy for land use change in the urban fringe area was 86%, with a fuzziness of 7%. Although it is argued that the uncertainty, still exists on classification accuracy assessed by this method. It nevertheless provides an alternative approach for more reasonable assessment when ideal simultaneous 'ground truthing' is not available. Numéro de notice : A2004-081 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150004 En ligne : https://doi.org/10.1080/0143116031000150004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26609
in International Journal of Remote Sensing IJRS > vol 25 n° 5 (March 2004) . - pp 1037 - 1050[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptative thresholding methods / H. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
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Titre : Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptative thresholding methods Type de document : Article/Communication Auteurs : H. Liu, Auteur ; K.C. Jezek, Auteur Année de publication : 2004 Article en page(s) : pp 937 - 958 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] courbe de Gauss
[Termes IGN] détection de contours
[Termes IGN] extraction automatique
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image satellite
[Termes IGN] littoral
[Termes IGN] segmentation d'image
[Termes IGN] seuillage d'image
[Termes IGN] trait de côteRésumé : (Auteur) This paper presents a comprehensive approach to effectively and accurately extract coastlines from satellite imagery. It consists of a sequence of image processing algorithms, in which the key component is image segmentation based on a locally adaptive thresholding technique. Several technical innovations have been made to improve the accuracy and efficiency for determining the land/ water boundaries. The use of the Levenberg-Marquardt method and the Canny edge detector speeds up the convergence of iterative Gaussian curve fitting process and improves the accuracy of the bimodal Gaussian parameters. The result is increased reliability of local thresholds for image segmentation. A series of further image processing steps are applied to the segmented images. Particularly, grouping and labelling contiguous image regions into individual image objects enables us to utilize heuristic human knowledge about the size and continuity of the land and ocean masses to discriminate the true coastline from other object boundaries. The final product of our processing chain is a vector-based line coverage of the coastline, which can be readily incorporated into a GIS database. Our method has been applied to both radar and optical satellite images, and the positional precision of the resulting coastline is measured at the pixel level. Numéro de notice : A2004-077 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000139890 En ligne : https://doi.org/10.1080/0143116031000139890 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26605
in International Journal of Remote Sensing IJRS > vol 25 n° 5 (March 2004) . - pp 937 - 958[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Using Landsat 7 TM data acquired days after a flood event to delineate the maximum flood extent on a coastal floodplain / Y. Wang in International Journal of Remote Sensing IJRS, vol 25 n° 5 (March 2004)
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Titre : Using Landsat 7 TM data acquired days after a flood event to delineate the maximum flood extent on a coastal floodplain Type de document : Article/Communication Auteurs : Y. Wang, Auteur Année de publication : 2004 Article en page(s) : pp 959 - 974 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] contour
[Termes IGN] détection de contours
[Termes IGN] image Landsat-TM
[Termes IGN] inondation
[Termes IGN] zone inondableRésumé : (Auteur) In response to Hurricane Floyd, the Tar River crested at a record height of 4.30m above the flood stage at the river gauge station of Greenville (North Carolina, USA) on 21 September 1999. This resulted in a massive flooding in the area. To delineate the maximum flood extent, an area of 238.4 km2 along the Tar/Pamlico River, North Carolina, and within the overlapped area of Landsat 7 Thematic Mapper (TM) path 14/row 35 and path 15/row 35 scenes was studied. Three TM datasets of 28 July 1999 (path 15/row 35), 23 September 1999 (path 14/row 35) and 30 September 1999 (path 15/row 35) were analysed as preflood data, near peak data, and nine days after the peak data, respectively. The 23 and 30 September flood extent maps were derived by change detection and then verified by 85 nonflooded and flooded sites within the study area. The overall accuracies at the sites were between 82.599.3% on both inundation extent maps. Although the recorded river surface level fell 2.62 m from 23 to 30 September at the river gauge station of Greenville, comparison of the two flood extent maps on a pixel-by-pixel basis showed an agreement of 90.7% in terms of regular river channels and waterbodies, flooded areas and nonflooded areas. The 30 September map captured over 90% of the flood extent as identified on the 23 September map. These results suggest that it is possible to use remotely sensed data acquired days after a river's crest to capture most of the maximum extent of a flood occurring on a coastal floodplain. and should somewhat reduce the requirement to have concurrently remotely sensed data in mapping a flood extent on a coastal floodplain. Numéro de notice : A2004-078 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150022 En ligne : https://doi.org/10.1080/0143116031000150022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26606
in International Journal of Remote Sensing IJRS > vol 25 n° 5 (March 2004) . - pp 959 - 974[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04051 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Automated classification of aerial photographs: detection of forest borders and single trees / André Dufour in Geoinformatics, vol 7 n° 2 (01/03/2004)
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Titre : Automated classification of aerial photographs: detection of forest borders and single trees Type de document : Article/Communication Auteurs : André Dufour, Auteur ; Y. Lopez, Auteur ; J. Lamas, Auteur ; V. Barbezat, Auteur ; J. Jacot, Auteur Année de publication : 2004 Article en page(s) : pp 8 - 11 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] arbre (flore)
[Termes IGN] détection de changement
[Termes IGN] détection de contours
[Termes IGN] forêt
[Termes IGN] Jura, massif du
[Termes IGN] photographie aérienne
[Termes IGN] photographie numérique
[Termes IGN] SuisseRésumé : (Auteur) Aerial photographs are often used in forestry for stand mapping and spatio-temporal landscape dynamics analysis with management perspective. They are preferred to satellite imagery because they are available in time series and are high-resotufion data, more easily accessible to forest managers. Up to now aerial photographs have been analysed by photo-interpreters. This is a time-consuming, laborious, expensive task and repticability of the method depends on the operator. The Swiss Federal Research Institute WSL and the Laboratoire de Production Microtechnique-EPFL are working on aerial photograph analysis automation with the aim to develop a software detecting forest outlines and recognising single-tree location and size on digitised aerial photographs. Numerous applications appear possible : calculating forest cover percentage, monitoring spatio-temporal changes of forest areas or the evolution of single tree radius classes. We explain how the software DENDROS works, and present an application in the Jura Mountains in Switzerland. Numéro de notice : A2004-118 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26645
in Geoinformatics > vol 7 n° 2 (01/03/2004) . - pp 8 - 11[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-04021 SL Revue Centre de documentation Revues en salle Disponible Automatic highway extraction from high resolution imagery by an energy minimizing based perceptual grouping method / Xiangyun Hu in Geomatica, vol 58 n° 1 (March 2004)
PermalinkPermalinkEvaluation comparative en cartographie forestière de l'analyse de texture et de la transformée en paquets d'ondelettes par le moyen d'un classifieur / A. Hammouch in Photo interprétation, vol 40 n° 1 (Mars 2004)
PermalinkA hybrid texture segmentation method for mapping urban land use / Nezamoddin N. Kachouie in Geomatica, vol 58 n° 1 (March 2004)
PermalinkKaiser filter for antialiasing in digital photogrammetry / Kourosh Khoshelham in Photogrammetric record, vol 19 n° 105 (March - May 2004)
PermalinkA wavelet approach to road extraction from high spatial resolution remotely-sensed imagery / Qiaoping Zhang in Geomatica, vol 58 n° 1 (March 2004)
PermalinkEstimation of land surface temperature-vegetation abundance relationship for urban heat island studies / Q. Wenger in Remote sensing of environment, vol 89 n° 4 (29/02/2004)
PermalinkImpact of imagery temporal on land-cover change detection monitoring / R.S. Lunetta in Remote sensing of environment, vol 89 n° 4 (29/02/2004)
PermalinkApplication of wavelet transform for extracting edges of paddy fields from remotely sensed images / T. Ishida in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)
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