MULTITEMPORAL SEGMENTATION OF SENTINEL-2 IMAGES IN AN AGRICULTURAL INTENSIFICATION REGION IN BRAZIL

Autor: SANTOS, L. T. dos, WERNER, J. P. S., REIS, A. A. dos, TORO, A. P. G., ANTUNES, J. F. G., COUTINHO, A. C., LAMPARELLI, R. A. C., MAGALHÃES, P. S. G., ESQUERDO, J. C. D. M., FIGUEIREDO, G. K. D. A.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

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 has increased. Although the advantages of image segmentation t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75e95d03923c3db9b030757c880f4333
https://doi.org/10.5194/isprs-annals-v-3-2022-389-2022

Optimizing Multiresolution Segmentation for Extracting Plastic Greenhouses from WorldView-3 Imagery

Autor: Manuel A. Aguilar, Andrés Miguel García Lorca, Abderrahim Nemamoui, Fernando J. Aguilar, Óscar González-Yebra, Antonio Novelli

Publikováno v: Intelligent Interactive Multimedia Systems and Services 2017 ISBN: 9783319594798
IIMSS

Multiresolution segmentation (MRS) has been pointed out as one of the most successful image segmentation algorithms within the object-based image analysis (OBIA) framework. The performance of this algorithm depends on the selection of three tuning pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::358e8fa547d364ee330097e32b39fb27
https://doi.org/10.1007/978-3-319-59480-4_4

C_AssesSeg Concurrent Computing Version of AssesSeg: A Benchmark Between the New and Previous Version

Autor: Fernando J. Aguilar, Abderrahim Nemmaoui, Antonio Novelli, Manuel A. Aguilar, Eufemia Tarantino

Publikováno v: Computational Science and Its Applications – ICCSA 2017 ISBN: 9783319624006
ICCSA (4)

This paper presents the capabilities of a command line tool (.exe) created to assess the quality of segmented digital images. The executable source code, called AssesSeg (Assess Segmentation), was written in Python 2.7 using only open source librarie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe19bddfe03b838d7111ce063ced9ba
https://doi.org/10.1007/978-3-319-62401-3_4

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.