|
Descripción
|
|
|---|---|
| In this work, a methodology to automatically delineate agricultural parcels is proposed. It combines superpixel and supervised classification in order to determine which adjacent superpixel should be merged, transforming the segmentation issue into a machine learning matter. Results of the methodology applied to two areas of a high-resolution satellite image of fragmented agricultural landscape are shown. | |
|
Internacional
|
Si |
|
DOI
|
European Remote Sensing: Progress, Challenges and |
|
Edición del Libro
|
1 |
|
Editorial del Libro
|
IOS PRESS |
|
ISBN
|
00-0000-0000 |
|
Serie
|
European Association of Remote Sensing Laboratories Proceedings |
|
Título del Libro
|
European Remote Sensing: Progress, Challenges and Opportunities |
|
Desde página
|
68 |
|
Hasta página
|
73 |