1,792,214 research outputs found
Rapport de m. le docteur HJ. Théel à m. le professeur Nordenskiöld
No full textSisältö: Programme des Expéditions. Lettre de m. le professeur Nordenskiöld à mm. Oscar Dickson et Alexandre Sibiriakoff. - Rapport de m. le professeur Nordenskiöld à mm. Oscar Dickson et Alexandre Sibiriakoff. - Rapport de m. le docteur HJ. Théel à m. le professeur Nordenskiöl
Aku bersyukur menjadi Wanita
No full textRekaman Ceramah Hj. Drs. Lutfiah Sungkaryang berjudul Aku bersyukur menjadi Wanit
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Fusion of Multitemporal Multi-Angle ENVISAT ASAR and HJ-1 Data for Object-based Urban Land Cover Classification
No full textThe key goal of this work is to analyze the synergistic effects of multitemporal data fusion for urban land cover mapping. In particular this analysis is carried out using multitemporal ENVISAT ASAR images and one Chinese HJ-1 optical image acquired over Beijing in 2009. The major land cover classes are high-density built-up areas, low-density built-up areas, roads, airports, forests, parks, golf courses, grass/pasture, crops, bare fields and water. The methodology used in this research including orthorectification, SAR speckle filtering, and object-based classification. The segmentation is based on the newly developed algorithm KTH-SEG that utilizes an edge-aware region growing and merging approach. Fusion of the various combinations of multitemporal multi-angle SAR data and HJ-1 data were compared with SAR and optical data alone. The preliminary results show that the fusion of ENVISAT ASAR and HJ-1 data performed much better than optical data alone or SAR data alone. The fusion of 4-date SAR data and optical data can achieve similar classification accuracy as the fusion of 8-date SAR data and optical data if multi-angle, dual look direction SAR data with suitable temporal compositions are selected. Compared to eCognition, the KTH-SEG performed better in extracting linear features such as roads and rivers.</p
EVALUATION ON CONSISTENCY BETWEEN HJ-1 CCD AND TM IMAGES IN MONITORING FRACTIONAL GREEN VEGETATION COVER
No full textThe fractional green vegetation cover (Fc) is an important climate model parameter. Remote sensing technique has become one of the most effective means to acquire vegetation dynamics information. The CCD cameras onboard HJ-1 satellites (Environment and Disaster monitoring and forecasting Satellite constellation) are advanced in revisit frequency and image coverage compared with Landsat TM. This study aims to assess the capability of HJ-1 CCD images in monitoring of Fc in terms of comparing with the widely used TM images. The quality of HJ-1 CCD is compared with the same temporal TM image in two aspects: the image statistical analysis and the image application analysis. After the comparison between the HJ-1 CCD image and TM image of the same area. The results show a high level of uniform between HJ-1 and TM images. Therefore, the conclusion may be drawn that the HJ-1 CCD image is feasible and suitable for Fc monitoring.Engineering, Electrical & ElectronicGeosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
H. Janke Berlin, Fabrik-Marke, Depose, HJ
No full textH. JANKE BERLIN, FABRIK-MARKE, DEPOSE, HJ
H. Janke Berlin, Fabrik-Marke, Depose, HJ ( -
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