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Recomendações para a geração de composições de máximo valor a partir de imagens AVHRR/NOAA. Infoteca-e
ESQUERDO, J. C. D. M..
As imagens de satélite são uma fonte importante de informações sobre a superfície terrestre, pois sua visão sinóptica, temporal e multiespectral auxilia no entendimento dos processos que ocorrem nos ecossistemas terrestres. Ao longo dos anos, as pesquisas envolvendo o sensoriamento remoto na agricultura têm explorado a alta frequência de revisita de alguns sensores orbitais, como o Advanced Very High Resolution Radiometer (AVHRR), o Moderate Resolution Imaging Spectroradiometer (Modis) e o Vegetation, que fornecem imagens multiespectrais diárias da superfície terrestre, a partir das quais podem ser derivados produtos como índices de vegetação, temperatura de superfície, albedo de superfície, entre outros.
Tipo: Folhetos Palavras-chave: Imagem de satélite; Imagem AVHRR; Satélite NOAA; Processamento de imagem; Image processing.
Ano: 2011 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/919171
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Reproductive dynamics of swordfish (Xiphias gladius) in the southwestern Indian Ocean (Reunion Island). Part 2: fecundity and spawning pattern ArchiMer
Poisson, Francois; Fauvel, Christian.
Batch fecundity and relative fecundity of swordfish (Xiphias gladius) in the southwestern Indian Ocean were estimated from seven gravid swordfish females (size range 127-225 cm lower jaw-to-fork length, LJFL) with unovulated, hydrated oocytes collected onboard Reunion-based (France) longline swordfish fishing vessels between December 1999 to January 2001. To investigate the spawning pattern of swordfish, we used data collected through a combination of two at sea sampling regimes. A total of 17 007 geo-located size data of swordfish were recorded during 8 years (1993-2001) and a total of 1727 (size range 75-289 cm, LJFL) swordfish gonads (1107 females and 620 males) were sampled from May 1998 to January 2001. The estimated batch fecundity ranged from 995...
Tipo: Text Palavras-chave: Xiphias gladius; Swordfish; Reproductive strategy; Gravimetric method; Image processing; Spawning frequency; Indian Ocean; Fecundity; Reproduction.
Ano: 2009 URL: http://archimer.ifremer.fr/doc/2009/publication-6354.pdf
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Statistical Descriptors of Ocean Regimes From the Geometric Regularity of SST Observations ArchiMer
Ba, Sileye O.; Autret, Emmanuelle; Chapron, Bertrand; Fablet, Ronan.
In this letter, we evaluate to which extent the activity of ocean fronts can be retrieved from the geometric regularity of ocean tracer observations. Applied to sea surface temperature (SST), we propose a method for the characterization of this geometric regularity from curvature-based statistics along temperature level lines in front regions. To assess the effectiveness of the proposed descriptors, we used six years (from 2003 to 2008) of daily SST observations of the regions of Agulhas in the South of Africa and of Malvinas off the southern Brazilian coast. These experiments stress the relevance of geometric regularity features of tracer observation at ocean surface to characterize seasonal variations in ocean regimes.
Tipo: Text Palavras-chave: Geosciences and remote sensing; Image analysis; Image classification; Image processing; Oceans; Ocean temperature; Sea surface.
Ano: 2012 URL: http://archimer.ifremer.fr/doc/00109/21993/20230.pdf
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Temporal and spatial changes of seagrass meadows in a Mediterranean coastal lagoon ArchiMer
Agostini, S; Marchand, B; Pergent, G.
Aerial photographs and in situ data of the Urbinu Lagoon (one of the largest and deepest ponds in Corsica, Mediterranean Sea) permit the establishment of a cartography of its aquatic benthic assemblages and types of sea-beds. It was possible to distinguish in the photographs submerged structures such as: sand, pebbles, mud and seagrass meadows. Seagrass beds were the predominant vegetation type in this lagoon (comprising 14-29% of the total area depending on the year studied), and their distribution was incorporated into a geographical information database, and then compared with historical data. Temporal and spatial change in seagrass meadows was assessed between 1990 and 1997. Change in total extent was evaluated through a map to map comparison of data...
Tipo: Text Palavras-chave: Phanérogames; Lagune méditerranéenne; Traitement d’image; Évolution d’écosystème; Seagrasses; Mediterranean lagoon; Image processing; Change detection.
Ano: 2002 URL: http://archimer.ifremer.fr/doc/00322/43296/43032.pdf
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The circlet transform: A robust tool for detecting features with circular shapes ArchiMer
Chauris, H.; Karoui, Imen; Garreau, Pierre; Wackernagel, H.; Craneguy, Philippe; Bertino, L..
We present a novel method for detecting circles on digital images. This transform is called the circlet transform and can be seen as an extension of classical 1D wavelets to 2D; each basic element is a circle convolved by a 1D oscillating function. In comparison with other circle-detector methods, mainly the Hough transform, the circlet transform takes into account the finite frequency aspect of the data; a circular shape is not restricted to a circle but has a certain width. The transform operates directly on image gradient and does not need further binary segmentation. The implementation is efficient as it consists of a few fast Fourier transforms. The circlet transform is coupled with a soft-thresholding process and applied to a series of real images...
Tipo: Text Palavras-chave: Circlet transform; Circle detection; Image processing; Multi-scale representation; Computer vision.
Ano: 2011 URL: http://archimer.ifremer.fr/doc/00033/14451/11752.pdf
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Use of digital images to estimate soil moisture AGRIAMBI
Santos,João F. C. dos; Silva,Heider R. F.; Pinto,Francisco A. C.; Assis,Igor R. de.
ABSTRACT The objective of this study was to analyze the relation between the moisture and the spectral response of the soil to generate prediction models. Samples with different moisture contents were prepared and photographed. The photographs were taken under homogeneous light condition and with previous correction for the white balance of the digital photograph camera. The images were processed for extraction of the median values in the Red, Green and Blue bands of the RGB color space; Hue, Saturation and Value of the HSV color space; and values of the digital numbers of a panchromatic image obtained from the RGB bands. The moisture of the samples was determined with the thermogravimetric method. Regression models were evaluated for each image type: RGB,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil color; Image processing; RGB; HSV.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001201051
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Using online image processing technique for measurement the browning in banana during drying (a new and automatic method) CIGR Journal
Ebrahimi, Mohammad Ali; Mohtasebi, Seyyed Saeed; Rafiee, Shahin; Hosseinpour, S..
Determination and controlling of quality parameters can be useful for ordering and marketing of fruits.  Color is the first and the most important parameter in the visual appearance of fruits, specifically in banana.  The aim of this study is to use image-processing technique (online operation) to measure and analyze the color change of banana slices during thin layer drying.  Using online-image-processing technique resulted in designing a machine vision system to control the color change of products automatically.  The results show a linear relation with high correlation coefficient for L*, a* and b* (0.967, 0.962 and 0.991 respectively) between the data of the image-processing technique and the hold-hand colorimeter.  In this study, parameters of chroma,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Machine vision; Online; Banana.
Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2522
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USPLeaf: Automatic leaf area determination using a computer vision system1 Rev. Ciênc. Agron.
Meira,Luiz Antonio; Pereira,Lilian Elgalise Techio; Santos,Manoel Eduardo Rozalino; Tech,Adriano Rogério Bruno.
ABSTRACT Computer vision systems based on digital image processing have been proposed as alternative tools to traditional methods to estimate leaf area, replacing the most time-consuming steps and laboring manual measurements. However, many of the available applications are still based on manual determination of leaf dimensions or require excessive and laborious user interventions before providing results. USPLeaf was designed to process images containing single or multiple leaves, and automatically determine the leaf area without user intervention. The accuracy for leaf area measurements of the software was compared to the results obtained by the standard method, an electronic planimeter (LI-3100). The vegetal species, Mavuno grass (MAV, Urochloa hybrid)...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Edge detection; Image segmentation; Information extraction.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400413
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Version évolutive de l’outil opérationnel de numérisation et d’analyse semi-automatique d’images de phytoplancton, utilisant le matériel FlowCAM et le logiciel ZooPhytoImage. Nouvelles perspectives ArchiMer
Wacquet, Guillaume; Grosjean, Philippe; Colas, Florent; Hamad, Denis; Artigas, Luis Felipe.
The coupled system FlowCAM/ZooPhytoImage has become a real operational tool in 2014. However, to be fully adapted to the observations of phytoplankton performed in the context of the REPHY observation network and in order to better respond to present and future requests concerning the evaluation of quality of coastal and marine waters within the European requirements, such as the WFD and MSFD, new functionalities must be integrated into existing tools. Therefore, different axis of development have been proposed by UMONS and Ifremer to adapt both the digitization device and the Zoo/PhytoImage software to the constraints defined by the REPHY. First, version 5 of Zoo/PhytoImage contains recent innovations such as the development of routines to automatically...
Tipo: Text Palavras-chave: Plancton; Analyse automatisée; Analyse d'image; Classification supervisée; Apprentissage actif; Dénombrement de cellules; Plankton; Automated analysis; Image processing; Supervised classification; Active learning; Cells counting.
Ano: 2015 URL: http://archimer.ifremer.fr/doc/00389/49986/50573.pdf
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