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Application 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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 347 - 357 Titre : Application of wavelet transform for extracting edges of paddy fields from remotely sensed images Type de document : Article/Communication Auteurs : T. Ishida, Auteur ; S. Itagaki, Auteur ; Y. Sasaki, Auteur ; H. Ando, Auteur Année de publication : 2004 Article en page(s) : pp 347 - 357 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] contour [Termes IGN] détection de contours [Termes IGN] filtrage numérique d'image [Termes IGN] image SPOT [Termes IGN] polygone [Termes IGN] transformation en ondelettes Résumé : (Auteur) For geographical information systems (GIS) to be useful in the management of Japanese paddy fields, it is vital to be able to prepare base maps that define sections of field. We attempted to prepare a base map by detecting the edges of submerged paddy fields from a SPOT image with the use of multiresolution wavelet transform. The raw image of SPOT band 3 was decomposed into a low frequency approximation image and a set of high frequency detailed images to five levels, and then reconstructed. The reconstructed image at the fifth level was obtained from all of the high frequency images except for the low frequency approximation image. The image reconstructed up to full scale was then applied to a zero-crossing scheme and three post-processings-line thinning, removal of isolated pixels, and connection of pixels with their neighbours in order to obtain clear edges. The spatial features of the image indicating the edges obtained by multi-resolution wavelet transform were compared quantitatively with those obtained by using a difference of Gaussian (DOG) filter. The multi-resolution wavelet transform was better than the DOG filter in that the base map obtained by the wavelet transform method represented a 'field block', which is typically composed of 10 holdings of paddy field, more precisely than with the DOG filter, and in that the number of open polygons on this map was smaller, indicating that the wavelet transform method is more suitable for producing the base map in GIS for the management of paddy fields. Numéro de notice : A2004-054 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115120 En ligne : https://doi.org/10.1080/0143116031000115120 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26582 [article]

Exemplaires (1)

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Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data / M.A. Diuk-Wasser in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 359 - 376 Titre : Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data Type de document : Article/Communication Auteurs : M.A. Diuk-Wasser, Auteur ; M. Bagayoko, Auteur ; N. Sogoba, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 359 - 376 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] carte agricole [Termes IGN] classification par maximum de vraisemblance [Termes IGN] image Landsat-ETM+ [Termes IGN] maladie tropicale [Termes IGN] Mali [Termes IGN] rizière Résumé : (Auteur) The aim of this study was to determine whether remotely sensed data could be used to identify rice-related malaria vector breeding habitats in an irrigated rice growing area near Niono, Mali. Early stages of rice growth show peak larval production, but Landsat sensor data are often obstructed by clouds during the early part of the cropping cycle (rainy season). In this study, we examined whether a classification based on two Landsat Enhanced Thematic Mapper (ETM)+ scenes acquired in the middle of the season and at harvesting times could be used to map different land uses and rice planted at different times (cohorts), and to infer which rice growth stages were present earlier in the season. We performed a maximum likelihood supervised classification and evaluated the robustness of the classifications with the transformed divergence separability index, the kappa coefficient and confusion matrices. Rice was distinguished from other land uses with 98% accuracy and rice cohorts were discriminated with 84% accuracy (three classes) or 94% (two classes). Our study showed that optical remote sensing can reliably identify potential malaria mosquito breeding habitats from space. In the future, these 'crop landscape maps' could be used to investigate the relationship between cultivation practices and malaria transmission. Numéro de notice : A2004-055 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001598944 En ligne : https://doi.org/10.1080/01431160310001598944 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26583 [article]

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Within-field wheat yield prediction from Ikonos data: a new matrix approach / E.A. Enclona in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 377 - 388 Titre : Within-field wheat yield prediction from Ikonos data: a new matrix approach Type de document : Article/Communication Auteurs : E.A. Enclona, Auteur ; Prasad S. Thenkabail, Auteur ; D. Celis, Auteur ; J. Diekmann, Auteur Année de publication : 2004 Article en page(s) : pp 377 - 388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture de précision [Termes IGN] blé (céréale) [Termes IGN] carte agricole [Termes IGN] image Ikonos [Termes IGN] pixel [Termes IGN] rendement agricole Résumé : (Auteur) This study demonstrates a unique matrix approach to determine within-field variability in wheat yields using fine spatial resolution 4 m IKONOS data. The matrix approach involves solving a system of simultaneous equations based on IKONOS data and post-harvest yields available at entire field scale. This approach was compared with a regression-based modelling approach involving field-sensor measured yields and the corresponding IKONOS measured indices and wavebands. The IKONOS data explained 74-78% variability in wheat yield. This is a significant result since the finer spatial resolution leads to capturing greater spatial variability and detail in landscape relative to coarser spatial resolution data. A pixel-by-pixel mapping of wheat yield variability highlights the fine spatial detail provided by IKONOS data for precision farming applications. Numéro de notice : A2004-056 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000102485 En ligne : https://doi.org/10.1080/0143116031000102485 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26584 [article]

Exemplaires (1)

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Evaluation of the runoff potential in high relief semi-arid regions using remote sensing data: application to Bolivia / T. Ouattara in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 423 - 435 Titre : Evaluation of the runoff potential in high relief semi-arid regions using remote sensing data: application to Bolivia Type de document : Article/Communication Auteurs : T. Ouattara, Auteur ; Q.H.J. Gwyn, Auteur ; J.M. Dubois, Auteur Année de publication : 2004 Article en page(s) : pp 423 - 435 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bassin hydrographique [Termes IGN] Bolivie [Termes IGN] image Landsat-ETM+ [Termes IGN] image Radarsat [Termes IGN] image SPOT-HRV [Termes IGN] ruissellement [Termes IGN] zone semi-aride Numéro de notice : A2004-057 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000102421 En ligne : https://doi.org/10.1080/0143116031000102421 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26585 [article]

Exemplaires (1)

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Effectiveness of spectroscopy in identification of swelling indicator clay minerals / P.C. Kariuki in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 455 - 469 Titre : Effectiveness of spectroscopy in identification of swelling indicator clay minerals Type de document : Article/Communication Auteurs : P.C. Kariuki, Auteur ; T. Woldai, Auteur ; Freek Van Der Meer, Auteur Année de publication : 2004 Article en page(s) : pp 455 - 469 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation [Termes IGN] Argile [Termes IGN] Espagne [Termes IGN] humidité du sol [Termes IGN] risque naturel Résumé : (Auteur) Swelling soils are a major geological hazard worldwide and their identification is a major concern. Swelling is due to the presence of clay minerals with a potential to accommodate water within their crystal structure. Three common groups, namely smectite, illite and kaolinite, have been identified as indicators of high, moderate and low swelling potential soils where in abundance. This study assessed the potential of spectral data as a tool to recognize the presence of these minerals in soils of varying swelling potential collected from the Antequera area of southern Spain, with the aim of establishing spectral parameters that would in future be applied in remote sensing applications for mapping swelling soils. The coefficient of linear extensibility (COLE) and the linear extensibility (Lerod), which are established methods for assessing swelling potential and tentative clay mineral allocation, were used as the controlling methods to classify the soils into swelling potential groups and to assign them to dominant clay mineral types. Several spectral parameters were identified as giving a good basis for assigning the soils to domination by either of these clay minerals, and thus to a swelling potential class based on their diagnostic assignment to hydroxyl (OH) and molecular water vibrational processes in clay minerals. The parameters consisted of asymmetries (1400 nm and 2200 nm) that were strong in the presence of the more ordered kaolinite, wavelength position and depth at 1900 nm, in abundant smectites, first and second derivative peaks at or near the molecular water feature and the unique presence of absorptions at 2170 nm and 2340 nm in abundant kaolinite and illite. The results show the potential for using reflectance spectroscopy as a tool in the classification of soils into domination by these indicator minerals and thus into swelling potential classes. However, high organic matter and the presence of moisture were found to affect area and depth intensities and would require consideration in such applications. Numéro de notice : A2004-058 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000084314 En ligne : https://doi.org/10.1080/0143116031000084314 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26586 [article]

Exemplaires (1)

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Evaluation of remote sensing-based active fire datasets in Indonesia / F. Stolle in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) . - pp 471 - 479 Titre : Evaluation of remote sensing-based active fire datasets in Indonesia Type de document : Article/Communication Auteurs : F. Stolle, Auteur ; R.A. Dennis, Auteur ; I. Kurniwan, Auteur ; Eric F. Lambin, Auteur Année de publication : 2004 Article en page(s) : pp 471 - 479 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Along Track Scanning Radiometer [Termes IGN] analyse comparative [Termes IGN] détection [Termes IGN] image DMSP-OLS [Termes IGN] image NOAA-AVHRR [Termes IGN] incendie [Termes IGN] Indonésie [Termes IGN] jeu de données localisées [Termes IGN] Moderate Resolution Imaging Spectroradiometer [Termes IGN] TRMM Résumé : (Auteur) Eight different fire datasets for Indonesia were compared with each other and to fine spatial resolution burnscar maps. Results show that each dataset detects different fires. More than two-thirds of the fires detected by one dataset are not detected by any other dataset. None of the datasets detect fires in all test areas. Fire regime, satellite sensor characteristics and fire detection algorithms all influence which fires are detected. Fire datasets were not complementing each other as they all had commission as well as omission errors. Numéro de notice : A2004-059 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618022 En ligne : https://doi.org/10.1080/01431160310001618022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26587 [article]

Exemplaires (1)

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Unsupervised classification of hyperspectral data: an ICA mixture model based approach / Chintan A. Shah in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 2 (January 2004) Titre : Unsupervised classification of hyperspectral data: an ICA mixture model based approach Type de document : Article/Communication Auteurs : Chintan A. Shah, Auteur ; M.K. Arora, Auteur ; P.K. Varshney, Auteur Année de publication : 2004 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse en composantes indépendantes [Termes IGN] classification non dirigée [Termes IGN] image AVIRIS [Termes IGN] image hyperspectrale [Termes IGN] précision de la classification Résumé : (Auteur) Conventional unsupervised classification algorithms that model the data in each class with a multivariate Gaussian distribution are often inappropriate, as this assumption is frequently not satisfied by the remote sensing data. In this Letter, a new algorithm based on independent component analysis (ICA) is presented. The ICA mixture model (ICAMM) algorithm that models class distributions as non-Gaussian densities has been employed for unsupervised classification of a test image from the AVIRIS sensor. A number of feature-extraction techniques have also been examined that serve as a preprocessing step to reduce the dimensionality of the hyperspectral data. The proposed ICAMM algorithm results in significant increase in the classification accuracy over that obtained from the conventional K-means algorithm for land cover classification. Numéro de notice : A2004-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618040 En ligne : https://doi.org/10.1080/01431160310001618040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26588 [article]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04021	RAB	Revue	Centre de documentation	En réserve 3L	Exclu du prêt