Abstract
Many researches have been performed comparing object-based classification (OBC) and pixel-based classification (PBC), particularly in classifying high-resolution satellite images. VNREDSat-1 is the first optical remote sensing satellite of Vietnam with resolution of 2.5 m (Panchromatic) and 10 m (Multispectral). The objective of this research is to compare two classification approaches using VNREDSat-1 image for mapping mangrove forest in Vien An Dong commune, Ngoc Hien district, Ca Mau province. ISODATA algorithm (in PBC method) and membership function classifier (in OBC method) were chosen to classify the same image. The results show that the overall accuracies of OBC and PBC are 73% and 62.16% respectively, and OBC solved the “salt and pepper” which is the main issue of PBC as well. Therefore, OBC is supposed to be the better approach to classify VNREDSat-1 for mapping mangrove forest in Ngoc Hien commune.
Highlights
The visual interpretation combining with pixel-based classification (PBC) basing on insitu ground truth collection used to be the most common approach to classify remote sensing images
The results show that the overall accuracies of object-based classification (OBC) and PBC are 73% and 62.16% respectively, and OBC solved the “salt and pepper” which is the main issue of PBC as well
It is very easy to see that being compared with the results provided by OBC, the result of PBC shows “salt-and-pepper” appearance which occurs when small areas of anomalous pixels cause the noise of image even after applying majority filter
Summary
The visual interpretation combining with pixel-based classification (PBC) basing on insitu ground truth collection used to be the most common approach to classify remote sensing images. Classifiers of OBC are flexible ones using fuzzy logic, which is a mathematical approach to quantify uncertain statements, instead of exact identification. This classification uses membership functions to assign each object to suitable class. As such, comparing with PBC, the classification result of OBC is more visual, can imitate the perceptual ability of human eyes and can describe the unity of land covers, so the interpretation and the identification of image object become easier [6]
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