Post classification comparison is applied to generate transition maps.
The post classification comparison of statistics suggests transformation from dense forest to agriculture class.
Post-classification comparison is used to detect LULCC among three images in Bahir Dar (Fig. 2a) and Hawassa (Fig. 2b).
This study, therefore, provides an initial of music-emotion classification comparison between the use of FD and PSD features.
We then used a post-classification comparison to determine the changes in green space areas of Mashad city during the 19 years covered by the images.
These include classification, comparison of design concepts, finding patent holes and building patent fences, design knowledge acquisition, and learning abstract concepts.
Post-classification comparison of land cover maps of 1972 and 2010 was used to quantify the level of persistence, net gains, losses and swaps among urban, natural vegetation, and agriculture categories; framed in a hierarchical land use/cover classification.
Among these, the post-classification comparison method is particularly attractive due to its nature of clearly identified change (Hung and Wu 2005; Muttitanon and Tripathi 2005; Yuan et al. 2005).
Image processing techniques for the automatic or semi-automatic analysis of paintings represent a valuable tool for supporting a number of challenging tasks, ranging from painting classification, comparison, and search and retrieval, to artist identification, artwork dating, and authentication [11].
Using an exemplar study area in central Taiwan, performance of the proposed methods are shown to be significantly superior to two other commonly applied methods (the post-classification comparison and the image differencing methods) in terms of the overall change detection accuracies.
