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Multitemporal segmentation of Sentinel-2 images in an agricultural intensification region in Brazil. ABSTRACT: With the recent evolution in the sensor's spatial resolution, such as the MultiSpectral Imager (MSI) of the Sentinel-2 mission, the need to use segmentation techniques in satellite images ha... ... Repository: BDPA Publication year: 2022
A case study for a multitemporal segmentation approach in optical remote sensing images. Continuous observations from remote sensors provide high temporal and spatial resolution imagery, and better remote sensing image segmentation techniques are mandatory for efficient analysis. Among th... ... Repository: BDPA Publication year: 2018
Self-guided segmentation and classification of multi-temporal landsat 8 images for crop type mapping in southeastern Brazil. Abstract: Only well-chosen segmentation parameters ensure optimum results of object-based image analysis (OBIA). Manually defining suitable parameter sets can be a time-consuming approach, not necessa... ... Repository: BDPA Publication year: 2015
Segmentation of optical remote sensing images for detecting homogeneous regions in space and time. With the amount of multitemporal and multiresolution images growing exponentially, the number of image segmentation applications is recently increasing and, simultaneously, new challenges arise. Hence... ... Repository: BDPA Publication year: 2017
A new approach for plant phenotyping and image segmentation based on contextual information. Repository: BDPA Publication year: 2017
Wrapper approach to select a subset of color components for image segmentation with photometric variations. Repository: BDPA Publication year: 2007
Automatic selection of color channels for segmentation of aerial images with photometric variations. Repository: BDPA Publication year: 2007
Mapeamento semidetalhado do uso da terra do Bioma Cerrado. O objetivo deste trabalho foi mapear o uso da terra do Bioma Cerrado na escala de 1:250.000. As seguintes classes de uso da terra foram consideradas: culturas agrícolas, pastagens cultivadas, reflores... ... Repository: BDPA Publication year: 2008
Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests. Colour-thresholding digital imaging methods are generally accurate for measuring the percentage of foliar area affected by disease or pests (severity), but they perform poorly when scene illumination... ... Repository: BDPA Publication year: 2021
Identificação de elementos específicos das folhas do algodoeiro em imagens com fundos complexos. Resumo: O uso de técnicas de processamento digital de imagens e visão computacional na análise foliar frequentemente depende de uma separação prévia das folhas das plantas do restante da cena. Essa se... ... Repository: BDPA Publication year: 2014

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