This paper focuses on an improved exploitation of the unique capabilities of various satellite data for land cover classification and for detecting and mapping of land cover changes using multitemporal and multitype Earth Observation (EO) data. Statistical methods based on consensus from several data sources are considered with respect to classification and integration of the multitemporal and multitype data. In the proposed method, each data source is treated separately at first. Then, the discriminatory information from the data sources is integrated.
|Number of pages||3|
|Publication status||Published - 1999|
|Event||Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Ger|
Duration: 28 Jun 1999 → 2 Jul 1999
|Conference||Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'|
|Period||28/06/99 → 2/07/99|