TY - BOOK ID - 2504060 TI - Spatio-temporal image processing : Theory and scientific applications PY - 1993 SN - 3540574182 3540481451 PB - Berlin ; Heidelberg ; New York Springer DB - UniCat KW - Analyse chronologique (Statistique) KW - Analyse de séries chronologiques KW - Analyse en série chronologique KW - Analyse spatiale KW - Analysis of time series KW - Chroniques (Statistique) KW - Chroniques [Statistique des ] KW - Computer vision KW - Computervisie KW - Ruimtelijke analyse KW - Spatial analysis KW - Série chronologique KW - Série temporelle KW - Séries chronologiques KW - Séries chronologiques [Analyse des ] KW - Séries temporelles KW - Tijdreeksenanalyse KW - Time-series analysis KW - Vision par ordinateur KW - Computer vision. KW - Image processing KW - Spatial analysis. KW - Time series analysis. KW - Digital techniques. KW - Digital techniques KW - Geography. KW - Optical pattern recognition. KW - Engineering. KW - Signal, Image and Speech Processing. KW - Image Processing and Computer Vision. KW - Environmental Science and Engineering. KW - Earth Sciences, general. KW - Pattern Recognition. KW - Complexity. KW - Construction KW - Industrial arts KW - Technology KW - Optical data processing KW - Pattern perception KW - Perceptrons KW - Visual discrimination KW - Cosmography KW - Earth sciences KW - World history KW - Machine vision KW - Vision, Computer KW - Artificial intelligence KW - Pattern recognition systems UR - https://www.unicat.be/uniCat?func=search&query=sysid:2504060 AB - Image sequence processing is becoming a tremendous tool to analyze spatio-temporal data in all areas of natural science. It is the key to studythe dynamics of of complex scientific phenomena. Methods from computer science and the field of application are merged establishing new interdisciplinary research areas. This monograph emerged from scientific applications and thus is an example for such an interdisciplinaryapproach. It is addressed both to computer scientists and to researchers from other fields who are applying methods of computer vision. The results presented are mostly from environmental physics (oceanography) but they will be illuminating and helpful for researchers applying similar methods in other areas. ER -