Abstract
Reference databases for the accuracy assessment of land cover maps are assumed to represent the true land cover in a set of selected locations. Although, the elaboration of reference databases through field visits or photo interpretation of aerial images is a hard and difficult task due to uncertainty in the assignment of the most correct land cover class at each sample location because of landscape fragmentation. To capture the diversity of land cover in each pixel of the reference data, a linguistic scale composed by five linguistic values is used in this paper and a methodology to translate the linguistic values to fuzzy intervals is proposed, based on the responses of the photo interpreters to a set of chosen pixels. These fuzzy intervals are then used to build a fuzzy confusion matrix and fuzzy thematic accuracy measures are derived. The main goal of this study is to quantify the differences of perception of photo-interpreters when assigning a linguistic scale to the sample pixels of the reference database. The proposed approach is tested on a case study where the accuracy assessment of a map of Continental Portugal with five land cover classes, derived from MERIS images, is made.
Original language | English |
---|---|
Title of host publication | Accuracy 2012 |
Subtitle of host publication | Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences |
Publisher | International Spatial Accuracy Research Association (ISARA) |
Pages | 79-84 |
Number of pages | 6 |
Publication status | Published - 1 Jan 2012 |
Event | 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2012 - Florianopolis, Brazil Duration: 10 Jul 2012 → 13 Jul 2012 |
Conference
Conference | 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2012 |
---|---|
Country/Territory | Brazil |
City | Florianopolis |
Period | 10/07/12 → 13/07/12 |
Keywords
- Fuzzy confusion matrix
- Fuzzy intervals
- Linguistic scale
- Photo-interpretation
- Reference database uncertainty