New cellular automata applications on multi-temporal and spatial analysis of NOAA-AVHRR images.

被引：0
|
作者：
Ruiz, JAM [1 ]
Moreno, CC [1 ]
Martínez, MC [1 ]
Raya, JTL [1 ]
Martínez, JB [1 ]
机构：
[1] Joint Res Ctr, Space Applicat Inst, I-21020 Ispra, VA, Italy
来源：
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING V | 1999年 / 3871卷
关键词：
Cellular Automata (CA); multi-temporal analysis; spatial analysis; spectral analysis; Remote Sensing; NOAA-AVHRR GAC data; burn scar detection; land use/cover change detection;
D O I：
10.1117/12.373267
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Since 1940, since Ulam and von Neumann conceived the CA (Cellular Automata) until now, they have been applied to the study of general phenomenological aspects of the world as a way of understanding the behaviour of complex systems. The basic idea has been not to try to describe a complex system from "above", but simulating this system by interaction of cells following easy rules. In this paper we propose to use the Cellular Automata paradigm for Remote Sensing applications on multi-spectral, multitemporal and spatial data analysis. In a first approach, we are designing two new applications which are being implemented in the Space Applications Institute (SAI) in the Global Vegetation Monitoring (GVM) unit in order to process daily NOAA-AVHRR data for detecting burnt surfaces and also land use/cover changes at global scare. The results obtained (burn scar maps and land use/cover changes maps) at global scale from daily NOAA-AVHRR images GAC - 8 km are presented.
引用
收藏
页码：296 / 304
页数：9
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