| Technology Application |
|
|
|
|
|
Feature description and extraction of residential area based on variogram function and grid division |
| ZHANG Enbing, QIN Kun, YUE Mengxue, ZHANG Ye, ZENG Cheng |
| School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China |
|
|
|
|
Abstract As an effective method for describing texture structure, variogram has a good application in residential areas extraction from high-resolution remote sensing image. However, nowadays, residential areas extraction methods mostly apply the calculation in pixel level by moving window, thus the computational efficiency tends to be lower when encountering large images. In addition, when describing texture structure characteristics for different data sources, it has a poor robustness and efficiency for selecting parameters. Therefore, the authors propose an effective method for residential area extraction based on variogram function and grid division in this paper. Firstly, the original image was divided into small grid units and then the unit was taken as the processing object;meanwhile, the optimal description parameters were selected based on the texture difference curve. Finally, the calculated texture characteristics were used to extract residential areas. The experimental results show that the proposed method has better spatial structure description capability and calculation efficiency.
|
| Keywords
object
histogram
G statistics
minimum distance
image classification
|
|
|
|
Issue Date: 20 October 2016
|
|
|
| [1] 沈小乐,邵振峰,田英洁.纹理特征与视觉注意相结合的建筑区提取[J].测绘学报,2014,43(8):842-847. Shen X L,Shao Z F,Tian Y J.Built-up areas extraction by textural feature and visual attention mechanism[J].Acta Geodaetica et Cartographica Sinica,2014,43(8):842-847.
[2] 李亮,舒宁,王凯,等.融合多特征的遥感影像变化检测方法[J].测绘学报,2014,43(9):945-953. Li L,Shu N,Wang K,et al.Chang detection method for remote sensing images based on multi-features fusion[J].Acta Geodaetica et Cartographica Sinica,2014,43(9):945-953.
[3] Wu S S,Xu B,Wang L.Urban land-use classification using variogram-based analysis with an aerial photograph[J].Photogrammetric Engineering & Remote Sensing,2006,72(7):813-822.
[4] 王燕红,程博,尤淑撑,等.基于改进变差函数的高分辨率SAR图像建筑区提取[J].遥感信息,2014,29(2):3-8. Wang Y H,Cheng B,You S C,et al.Extraction of building areas from high-resolution SAR images based on advanced variogram method[J].Remote Sensing Information,2014,29(2):3-8.
[5] Tonye E,Fotsing J,Zobo B E,et al.Contribution of variogram and feature vector of texture for the classification of big size SAR images[C]//Proceedings of the 7th International Conference on Signal-Image Technology and Internet-Based Systems.Dijon:IEEE,2011:382-389.
[6] Wallace C S A,Watts J M,Yool S R.Characterizing the spatial structure of vegetation communities in the Mojave Desert using geostatistical techniques[J].Computers & Geosciences,2000,26(4):397-410.
[7] Chen Q,Gong P.Automatic variogram parameter extraction for textural classification of the panchromatic IKONOS imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(5):1106-1115.
[8] 陈一祥.高分影像空间结构特征建模与信息提取[D].武汉:武汉大学,2013. Chen Y X.Modeling of Spatial Strutural Features and Information Extraction for High Resolution Remote Sensing Images[D].Wuhan:Wuhan University,2013.
[9] Carr J R,de Miranda F P.The semivariogram in comparison to the co-occurrence matrix for classification of image texture[J].IEEE Transactions on Geoscience and Remote Sensing,1998,36(6):1945-1952.
[10] 董庆,冯林新.变差函数在遥感图像处理中的应用[J].遥感技术与应用,1997,12(1):8-13. Dong Q,Feng L X.The use of the variogram in remotely sensed images[J].Remote Sensing Technology and Application,1997,12(1):8-13. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2016,
Vol. 28
