遥感技术与应用 2019, Vol. 34 Issue (4): 799-806 DOI: 10.11873/j.issn.1004-0323.2019.4.0799 |
数据与图像处理 |
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一种结合空间与光谱信息的改进CVA变化检测方法 |
申祎(),王超(),胡佳乐 |
南京信息工程大学电子与信息工程学院,江苏 南京 210044 |
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An Improved CVA Change Detection Method Combining Spatial and Spectral Information |
Yi Shen(),Chao Wang(),Jiale Hu |
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China |
1 |
RoganJ, ChenD M. Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change[J]. Progress in Planning, 2004, 61(4):301-325.
|
2 |
ChenX L, ZhaoH M, LiP X, et al. Remote Sensing Image-based Analysis of the Relationship between Urban Heat Island and Land Use/Cover Changes[J]. Remote Sensing of Environment, 2006, 104(2):133-146.
|
3 |
LüZ Y, ShiW Z, ZhouX C, et al. Semi-automatic System for Land Cover Change Detection Using Bi-temporal Remote Sensing Images[J]. Remote Sensing, 2017, 9(11):1112-1124.
|
4 |
LüZ Y, ShiW, ZhangX, et al. Landslide Inventory Mapping from Bitemporal High-resolution Remote Sensing Images Using Change Detection and Multiscale Segmentation[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2018, 11(5):1520-1532.
|
5 |
FengW, SuiH, TuJ, et al. A Novel Change Detection Approach based on Visual Saliency and Random Forest from Multi-temporal High-resolution Remote Sensing Images[J]. International Journal of Remote Sensing, 2018, 39(22):7998-8021.
|
6 |
SabryR, AinsworthT L. SAR Compact Polarimetry for Change Detection and Characterization[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(3):898-909.
|
7 |
MalilaW A. Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat[C]∥LARS Symposia. 1980: 385-397.
|
8 |
BruzzoneL, PrietoD F. Automatic Analysis of the Difference Image for Unsupervised Change Detection[J]. IEEE Transactions on Geoscience & Remote Sensing, 2000, 38(3):1171-1182.
|
9 |
ZhuangH, DengK, FanH, et al. Strategies Combining Spectral Angle Mapper and Change Vector Analysis to Unsupervised Change Detection in Multispectral Images[J]. IEEE Geoscience & Remote Sensing Letters, 2017, 13(5):681-685.
|
10 |
XiaoMinghong, FengWenqing, HaigangSui . Remote Sensing Image Change Detection Algorithm based on Super-pixel Segmentation and Multiple Difference Maps[J]. Bulletin of Surveying and Mapping, 2018(10):101-105,129.
|
10 |
肖明虹, 冯文卿, 眭海刚. 超像素分割和多方法融合的遥感影像变化检测方法[J]. 测绘通报, 2018(10):101-105,129.
|
11 |
HuangWei, HuangJinliang, WangLihui, et al. Remote Sensing Image Change Detection based on Change Vector Analysis of PCA Component[J]. Remote Sensing for Land & Resources, 2016, 28(1):22-27.
|
11 |
黄维, 黄进良, 王立辉,等.基于PCA的变化向量分析法遥感影像变化检测[J]. 国土资源遥感, 2016, 28(1):22-27.
|
12 |
ZanettiM, BruzzoneL. A Theoretical Framework for Change Detection based on a Compound Multiclass Statistical Model of the Difference Image[J]. IEEE Transactions on Geoscience & Remote Sensing, 2018, 56(2):1129-1143.
|
13 |
ZhuangH, DengK, YangY, et al. An Approach based on Discrete Wavelet Transform to Unsupervised Change Detection in Multispectral Images[J]. International Journal of Remote Sensing, 2017, 38(17):4914-4930.
|
14 |
SartajvirS, RajneeshT. Response of Fuzzy Clustering on Different Threshold Determination Algorithms in Spectral Change Vector Analysis over Western Himalaya, India[J]. Journal of Mountain Science, 2017, 14(7):1391-1404.
|
15 |
DewiR, BijkerW, SteinA. Change Vector Analysis to Monitor the Changes in Fuzzy Shorelines[J]. Remote Sensing, 2017, 9(147):1-28.
|
16 |
PerlibakasV. Face Recognition Using Principal Component Analysis of the Wavelet Packet Decomposition[J]. Social Science Electronic Publishing, 2017, 15(15):243-250.
|
17 |
WuZ, HuangY, ZhangK. Remote Sensing Image Fusion Method based on PCA and Curvelet Transform[J]. Journal of the Indian Society of Remote Sensing, 2018(3):1-9.
|
18 |
MengJ, LeiW. Novel Class-relativity Non-local Means with Principal Component Analysis for Multitemporal SAR Image Change Detection[J]. International Journal of Remote Sensing, 2018, 39(4):1068-1091.
|
19 |
WangY, QiQ, YingL. Unsupervised Segmentation Evaluation Using Area-weighted Variance and Jeffries-Matusita Distance for Remote Sensing Images[J]. Remote Sensing, 2018, 10(8):105-117.
|
20 |
BoC, FangQ, WuB, et al. Image Segmentation based on Constrained Spectral Variance Difference and Edge Penalty[J]. Remote Sensing, 2015, 7(5):5980-6004.
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