Gradual land cover change detection based on multitemporal fraction images |
| |
Authors: | Daniel C. Zanotta Victor Haertel |
| |
Affiliation: | 1. National Institute for Space Research, Av. dos Astronautas, 1758, São José dos Campos, SP, Brazil;2. Federal Institute for Education, Science and Technology at Rio Grande do Sul, Rua Eng. Alfredo Huch, 475, Rio Grande, RS, Brazil;3. Federal University at Rio Grande do Sul, Av. Bento Gonçalves, 9500, Center for Remote Sensing, Porto Alegre, RS, Brazil |
| |
Abstract: | This study proposes a new approach to change detection in remote sensing multi-temporal image data. Rather than allocating pixels to one of two disjoint classes (change, no-change) which is the approach most commonly found in the literature, we propose in this study to define change in terms of degrees of membership to the class change. The methodology aims to model images depicting the natural environment more realistically, taking into account that changes tend to occur in a continuum rather than being sharply distinguished. To this end, a sub-pixel approach is implemented to help detect degrees of change in every pixel. Three experiments employing the proposed approach using synthetic and real image data are reported and their results discussed. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|