Semantic Scholar Open Access 2011 69 sitasi

High-Resolution Optical and SAR Image Fusion for Building Database Updating

V. Poulain J. Inglada M. Spigai J. Tourneret P. Marthon

Lihat Sumber DOI

Abstrak

This paper addresses the issue of cartographic database (DB) creation or updating using high-resolution synthetic aperture radar and optical images. In cartographic applications, objects of interest are mainly buildings and roads. This paper proposes a processing chain to create or update building DBs. The approach is composed of two steps. First, if a DB is available, the presence of each DB object is checked in the images. Then, we verify if objects coming from an image segmentation should be included in the DB. To do those two steps, relevant features are extracted from images in the neighborhood of the considered object. The object removal/inclusion in the DB is based on a score obtained by the fusion of features in the framework of Dempster-Shafer evidence theory.

Topik & Kata Kunci

Computer Science

Penulis (5)

V. Poulain

J. Inglada

M. Spigai

J. Tourneret

P. Marthon

Format Sitasi

APA MLA BibTeX

Poulain, V., Inglada, J., Spigai, M., Tourneret, J., Marthon, P. (2011). High-Resolution Optical and SAR Image Fusion for Building Database Updating. https://doi.org/10.1109/TGRS.2011.2113351

Akses Cepat

Lihat di Sumber doi.org/10.1109/TGRS.2011.2113351

Informasi Jurnal

Tahun Terbit: 2011
Bahasa: en
Total Sitasi: 69×
Sumber Database: Semantic Scholar
DOI: 10.1109/TGRS.2011.2113351
Akses: Open Access ✓