A Proposal of the Land Cover Change Detection Method using Satellite Multispectral Data.
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概要
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The objective of this study is to construct the evaluation algorithm for the land cover change detection using satellite multispectral data. The post-classification comparisons based on the several supervised or unsupervised classification methods are the most commonly used methods of quantitative change detection. It requires a complete classification of the individual dates of the satellite data. Unfortunately, every error in the individual data classification map will also be present in the final change detection map. Therefore, it is imperative that the individual classification maps used the post-classification change detection method be as accurate as possible. It should be recognized that there are still many difficulties on the satellite-based change detection of the land cover. So, we divided the research approach of extracting and analyzing the land cover change into two stages; one is the evaluation on the changed "area", and the other is the changed "class" of the land cover. There are some limitations to evaluate the changed "class" accurately with the image processing based-method. In this study, we focus only on the evaluation of the changed "area" of the land cover. The proposed algorithms for the land cover change detection are as follows;<BR>Step-1) Preparation of the two kinds of satellite data observed at the different time. Let's say those "Data-A" and "Data-B", respectively.<BR>Step-2) As the preprocessing for the Data-A and the Data-B, the geometric correction and the radiometric normalization were executed.<BR>Step-3) Through the 3 x 3 window operator, the dissimilarity measure between Data-A and Data-B is calculated, for the TM band-2, band-3 and band-4, respectively. Then the "dissimilarity images" are produced in each band.<BR>Step-4) The Land cover Change Detection map (termed LCD map) is produced by assigning the similarity images to the red, green, and blue image planes, respectively.<BR>Step-5) Interpretation of the land cover change detection map. In comparison with the change detection results of the post-classification comparison method based on the maximum likelihood classification, we conclude;<BR>1) The LCD map could be made through the simple procedure, that is important factor as the image processing and analysis method on the land cover change detection.<BR>2) The LCD map could highlight the land cover changed "area" observed not only in all band, but also in each band.<BR>3) Based on the color composite information of the LCD map, we can easily interpret the changed situation of the land cover, such as the paddy field, the farmland, the grass and forest area, etc. The LCD map is useful as a "supporting information" to extract and analyze the land cover changed area, as well as for the detail field investigation. The proposed algorithms for making the LCD map and its interpretation should contribute to the feature research activities on the land cover change detection.
- 社団法人 日本リモートセンシング学会の論文