Autores
Guzmán Lugo José Giovanni
Quintero Téllez Rolando
Torres Ruiz Miguel Jesús
Moreno Ibarra Marco Antonio
Título Applying A-Priori Knowledge for Compressing Digital Elevation Models
Tipo Revista
Sub-tipo JCR
Descripción Lecture Notes in Artificial Intelligence; 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems
Resumen Up-to-date, some algorithms related to compress digital elevation models (DEMs) or high-resolution DEMs, use wavelet and JPEG-LS encoding approaches to generate compressed DEM files with good compression factor. However, to access the original data (elevation values), it is necessary to decompress whole model. In this paper, we propose an algorithm oriented to compress a digital elevation model, which is based on a sequence of binary images encoded using RLE compression technique, according to a specific height (contour lines). The main goal of our algorithm is to obtain specific parameters of the DEM (altitudes and contours lines) without using a decompression stage, because the information is directly read from the compressed DEM.
Observaciones KES 2006; Code 68477; LNAI - I
Lugar Bournemouth
País Reino Unido
No. de páginas 614-622
Vol. / Cap. 4251
Inicio 2006-10-09
Fin 2006-10-11
ISBN/ISSN 978-3-540-46536-2