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Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. Autoria: CARVALHO, C. W. P. de; FREITAS-SILVA, O. This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extru... ... Repositório: BDPA Ano de publicação: 2023
Automatic classification of soybean diseases based on digital images of leaf symptoms. ABSTRACT; This paper presents an algorithm for automatic classification of diseases that produce symptoms in soybean leaves. The algorithm is based on digital image processing techniques and on a modi... ... Repositório: BDPA Ano de publicação: 2015
The roles of textural images in improving land-cover classification in the Brazilian Amazon. Texture has long been recognized as valuable in improving land-cover classification, but how data from different sensors with varying spatial resolutions affect the selection of textural images is poo... ... Repositório: BDPA Ano de publicação: 2014
Developments in forest monitoring under the Brazilian National Forest Inventory: multi-source and hybrid image classification approaches. Autoria: OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C. Information on forest and tree resources as well as land use and land cover (LULC) maps are a growing demand which Brazilian National Forest Inventory (NFI-BR) is designed to meet through field and re... ... Repositório: BDPA Ano de publicação: 2015
Comparison of classification algorithms of images for the mapping of the land covering in Tasso Fragoso municipality, Brazil. Abstract. One of the main applications of satellite images is the characterization of terrestrial coverage, that from the use of classification techniques, allows the monitoring of spatial transformat... ... Repositório: BDPA Ano de publicação: 2021
A comparative study of landsat TM and SPOT HRG images of vegetation classification in the brazilian Amazon. Complex forest structure and abundant tree species in the moist tropical regions often couse difficulties in classifying vegetation classes with remotely sensed data. This paper explores improvement i... ... Repositório: BDPA Ano de publicação: 2008
Land use/cover classification in the Brazilian Amazon using satellite images. Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical... ... Repositório: BDPA Ano de publicação: 2012
Individual tree detection and species classification of Amazonian palms using UAV images and deep learning. Autoria: PAPA, D. de A.; FIGUEIREDO, E. O. Information regarding the spatial distribution of palm trees in tropical forests is crucial for commercial exploitation and management. However, spatially continuous knowledge of palms occurrence is s... ... Repositório: BDPA Ano de publicação: 2020
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... ... Repositório: BDPA Ano de publicação: 2015
Data mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images. Repositório: BDPA Ano de publicação: 2014

Mostrando 1 - 10 de 636 resultados.

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