Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means
A new algorithm on Discrete Wavelet Transform (DWT) and neighborhood FCM is proposed to detect change area from remote sensing image. First, the subtraction and ratio image are obtained by the subtraction and ratio method from the two registered remote sensing images; Then, the DWT is applied to the...
| Format: | Article |
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| Language: | zho |
| Published: |
EDP Sciences
2018-06-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/pdf/2018/03/jnwpu2018363p426.pdf |
| _version_ | 1797428926441586688 |
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| collection | DOAJ |
| description | A new algorithm on Discrete Wavelet Transform (DWT) and neighborhood FCM is proposed to detect change area from remote sensing image. First, the subtraction and ratio image are obtained by the subtraction and ratio method from the two registered remote sensing images; Then, the DWT is applied to the subtraction and ratio image, the region intensity-based and energy-based fusion rules is adopted to the low frequency and high frequency wavelet coefficients, and the inverse DWT is used to obtain the final difference image; At last, the neighborhood FCM is carried out to get the change areas, the spatial distance information and gray difference information are considered in the objective function of FCM, which could avoid misclassification and enhance the detection probability. Experimental results show that the proposed algorithm has strong ability to suppress noise and good detection results; the detection probability of unban change area can reach to 98.45%, whereas, the detection probability is up to 87.5% for the discontinuous forest change area. |
| first_indexed | 2024-03-09T09:05:53Z |
| format | Article |
| id | doaj.art-3bd6c88e6f664016aa8946131e096251 |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-09T09:05:53Z |
| publishDate | 2018-06-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-3bd6c88e6f664016aa8946131e0962512023-12-02T10:25:34ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252018-06-0136342643110.1051/jnwpu/20183630426jnwpu2018363p426Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-MeansA new algorithm on Discrete Wavelet Transform (DWT) and neighborhood FCM is proposed to detect change area from remote sensing image. First, the subtraction and ratio image are obtained by the subtraction and ratio method from the two registered remote sensing images; Then, the DWT is applied to the subtraction and ratio image, the region intensity-based and energy-based fusion rules is adopted to the low frequency and high frequency wavelet coefficients, and the inverse DWT is used to obtain the final difference image; At last, the neighborhood FCM is carried out to get the change areas, the spatial distance information and gray difference information are considered in the objective function of FCM, which could avoid misclassification and enhance the detection probability. Experimental results show that the proposed algorithm has strong ability to suppress noise and good detection results; the detection probability of unban change area can reach to 98.45%, whereas, the detection probability is up to 87.5% for the discontinuous forest change area.https://www.jnwpu.org/articles/jnwpu/pdf/2018/03/jnwpu2018363p426.pdfremote sensing imagechange detectiondwtneighborhood fcm |
| spellingShingle | Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means Xibei Gongye Daxue Xuebao remote sensing image change detection dwt neighborhood fcm |
| title | Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means |
| title_full | Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means |
| title_fullStr | Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means |
| title_full_unstemmed | Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means |
| title_short | Change Detection Algorithm Based on Discrete Wavelet Transforms and Neighborhood Fuzzy C-Means |
| title_sort | change detection algorithm based on discrete wavelet transforms and neighborhood fuzzy c means |
| topic | remote sensing image change detection dwt neighborhood fcm |
| url | https://www.jnwpu.org/articles/jnwpu/pdf/2018/03/jnwpu2018363p426.pdf |