QUALITY ASSESSMENT OF LAND COVER CLASSIFICATION PRODUCTS BASED ON THE FUZZY–AHP SYNTHESIS MODEL

• Main Authors: L. Lv, H. Chen, W. Xie, Z. Tian, Y. Chen
• Format: Article
• Language: English
• Published: Copernicus Publications 2021-06-01
• Series: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Online Access: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/769/2021/isprs-archives-XLIII-B3-2021-769-2021.pdf

As one of the critical products National Geographic Conditions Monitoring Achievements (NGCMA), land cover dataset has great value for the practical needs of China natural resources investigation and monitoring. For providing This paper proposed a fuzzy-AHP synthesis model, for assessing the quality of land cover classification products, based on the current qualifications of inspection and acceptance as well the characteristics of the inspection process of this type of results. The model is practiced on a data set that is the inspection results from 27 surveying areas in northern China. By comparing the results to the results from minimum method (MinM) and weighted average methods (WAM), this study pay attention on giving the analysing of the reasonability and feasibility of this model on practical uses and to provide a technical reference for quality evaluation of the new-type of fundamental surveying and mapping products.