用于自動(dòng)識(shí)別遙感圖像路網(wǎng)信息的改進(jìn)模糊連接度方法
doi: 10.11999/JEIT150563
-
1.
(湖南大學(xué)建筑學(xué)院 長(zhǎng)沙 410082) ②(湖南大學(xué)電氣與信息工程學(xué)院 長(zhǎng)沙 410082)
An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image
-
1.
(College of Architecture, Hunan University, Changsha 410082, China)
-
2.
(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)
-
摘要: 針對(duì)遙感圖像中路網(wǎng)信息的自動(dòng)識(shí)別問(wèn)題,該文將小波模極大值邊緣檢測(cè)方法和模糊連接度方法結(jié)合,提出一種改進(jìn)的模糊連接度方法。采用小波模極大值邊緣檢測(cè)方法進(jìn)行模糊連接度種子點(diǎn)的自動(dòng)選擇,解決傳統(tǒng)模糊連接度理論中種子點(diǎn)難以自動(dòng)選擇的問(wèn)題。在此基礎(chǔ)上,對(duì)傳統(tǒng)的模糊相似度計(jì)算公式進(jìn)行簡(jiǎn)化,在保證路網(wǎng)識(shí)別準(zhǔn)確性的同時(shí),大大減少了計(jì)算量。采用來(lái)自Quickbird高分辨商業(yè)遙感衛(wèi)星的3組影像進(jìn)行實(shí)驗(yàn),驗(yàn)證了該文提出的路網(wǎng)識(shí)別方法具有較高的準(zhǔn)確性和計(jì)算速度。
-
關(guān)鍵詞:
- 遙感圖像 /
- 路網(wǎng)信息識(shí)別 /
- 模糊連接度 /
- 小波模極大值 /
- 圖像邊緣檢測(cè)
Abstract: To recognize automatically road network from remote sensing image, an improved fuzzy connectedness method is proposed by combining traditional fuzzy connectedness theory with wavelet modulus maximum algorithm. The wavelet modulus maximum image edge detection algorithm is used to solve the problem of selecting seed points automatically in traditional fuzzy connectedness theory. On this basis, traditional fuzzy similarity computational formula is simplified. This can reduce the cost of calculation greatly without reducing the recognition accuracy. Three high-resolution remote sensing images from the satellite Quickbird are processed in the experiments to prove the effectiveness of the proposed method. The results show that the proposed road network recognition method has high accuracy and rapid computation speed. -
王雷, 馮學(xué)智, 都金康, 等. 遙感影像分類(lèi)與地學(xué)知識(shí)發(fā)現(xiàn)的集成研究[J]. 地理研究, 2001, 20(5): 637-643. WANG Lei, FENG Xuezhi, DU Jinkang, et al. On the integration between image classification and geographical knowledge discovery[J]. Geographical Research, 2001, 20(5): 637-643. 林祥國(guó), 張繼賢, 李海濤, 等. 基于T型模板匹配半自動(dòng)提取高分辨率遙感影像帶狀道路[J]. 武漢大學(xué)學(xué)報(bào)信息科學(xué)版, 2009, 34(3): 293-296. LIN Xiangguo, ZHANG Jixian, LI Haitao, et al. Semi- automatic extraction of ribbon road from high resolution remotely sensed imagery by a T-shaped template matching [J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 293-296. LIU Junyi, SUI Haigang, TAO Mingming, et al. Road extraction from SAR imagery based on an improved particle filtering and snake model[J]. International Journal of Remote Sensing, 2013, 34(22): 8199-8214. 李利偉, 劉吉平, 尹作為. 基于數(shù)學(xué)形態(tài)學(xué)的高分辨率遙感影像道路提取[J]. 遙感信息, 2005(3): 9-11. LI Liwei, LIU Jiping, and YIN Zuowei. Road extraction from high resolution remote sensing image based on mathematic morphology[J]. Remote Sensing Information, 2005(3): 9-11. MATKAN A A, HAJEB M, and SADEGHIAN S. Road extraction from Lidar data using support vector machine classification[J]. Photogrammetric Engineering and Remote Sensing, 2014, 80(5): 409-422. MA Hairong, CHENG Xinwen, WANG Xin, et al. Road information extraction from high resolution remote sensing images based on threshold segmentation and mathematical morphology[C]. Proceedings of the 2013 6th International Congress on Image and Signal Processing, Hangzhou,?2013,?2: 626-630. 勞小敏, 張哲倫, 張豐, 等. 基于鄰域總變分和邊緣檢測(cè)的遙感影像道路提取[J]. 浙江大學(xué)學(xué)報(bào)(理學(xué)版), 2013, 40(6): 705-709. LAO Xiaomin, ZHANG Zhelun, ZHANG Feng, et al. Road extraction from remote sensing images based on neighborhood total variation and edge detection[J]. Journal of Zhejiang University (Science Edition), 2013, 40(6): 705-709. 寧亞輝, 雷小奇, 王功孝, 等. Dempster-Shafe證據(jù)融合形狀特征的高分辨率遙感圖像道路信息提取[J]. 中國(guó)圖象圖形學(xué)報(bào), 2011,16(12): 2183-2190. NING Yahui, LEI Xiaoqi, WANG Gongxiao, et al. Road extraction from high-resolution remote sensing images based on Dempster-Shafer evidence theory and fusion shape features[J]. Journal of Image and Graphics, 2011, 16(12): 2183-2190. ROSENFELD A. Fuzzy digital topology[J]. Inform Control, 1979, 40: 76-87. UDUPA K J and SAMARASEKERA S. Fuzzy connectedness and object definition: theory, algorithm and application in image segmentation[J]. Graphical Model and Image Processing, 1995, 58(3): 246-261. 魏敏, 李朝峰. 基于模糊連接度的衛(wèi)星圖像道路提取新方法[J]. 計(jì)算機(jī)工程與應(yīng)用, 2006, 42(13): 230-232. WEI Min and LI Chaofeng. Relative-fuzzy-connectedness based road extraction new method from remote sensing image[J]. Computer Engineering and Application, 2006, 42(13): 230-232. 錢(qián)廈, 盛慶紅, 宗鵬. 基于紋理-模糊連接度的遙感影像道路自動(dòng)提取[J]. 計(jì)算機(jī)工程與應(yīng)用, 2011, 47(34): 187-189. QIAN Xia, SHENG Qinghong, and ZONG Peng. Automatic road extraction from remote sensing images based on texture-fuzzy connectedness[J]. Computer Engineering and Applications, 2011, 47(34): 187-189. 吳光文, 王昌明, 包建東, 等. 基于自適應(yīng)閾值函數(shù)的小波閾值去噪方法[J]. 電子與信息學(xué)報(bào), 2014, 36(6): 1340-1347. doi: 10.3724/SP.J.1146.2013.00798. WU Guangwen, WANG Changming, BAO Jiandong, et al. A wavelet threshold de-noising algorithm based on adaptive threshold function[J]. Journal of Electronics Information Technology, 2014, 36(6): 1340-1347. doi: 10.3724/SP.J.1146. 2013.00798. 郝巖, 許建樓. 迭代重加權(quán)的小波變分修復(fù)模型[J]. 電子與信息學(xué)報(bào), 2013, 35 (12) : 2916-2920. doi: 10.3724/SP.J.1146. 2012.01561. HAO Yan and XU Jianlou. Iteratively reweighted based wavelet variational inpainting model[J]. Journal of Electronics Information Technology, 2013, 35(12): 2916-2920. doi: 10.3724/SP.J.1146.2012.01561. 田巖巖, 齊國(guó)清. 基于小波變換模極大值的邊緣檢測(cè)方法[J]. 大連海事大學(xué)學(xué)報(bào), 2007, 33(1): 102-106. TIAN Yanyan and QI Guoqing. Edge detection based on wavelet transfer module maxima[J]. Journal of Dalian Maritime University, 2007, 33(1): 102-106. -
計(jì)量
- 文章訪(fǎng)問(wèn)數(shù): 1058
- HTML全文瀏覽量: 90
- PDF下載量: 531
- 被引次數(shù): 0