基于面向对象分类技术的地理国情监测研究

地物分类是地理国情变化监测的关键技术，选用福州仓山主城区两个时期的高分辨率影像作为研究对象，研究了利用面向对象分类技术进行地表覆盖分类并生成地理国情普查数据的方法和流程。同时，探讨了基于不同时期地理国情普查数据的空间分析统计结果，揭示地理国情变化规律及原因。

Monitoring of Geographical Conditions Based on Object-Oriented Classification

Land cover classification plays an important role in monitoring the national geographical changes .This study aims at generating land cover maps for surveying geographical conditions through object -based classification techniques .Two high resolution remote sensing images acquired at different dates in a city zone of Cangshan , Fuzhou, were chosen for experiments .The statistical results of the spatial analysis of these geographical data derived from the bi -temporal images were given to investigate the patterns and reasons of the land changes .