光谱学与光谱分析 |
|
|
|
|
|
Review of Change Detection Methods Using Multi-Temporal Remotely Sensed Images |
YIN Shou-jing, WU Chuan-qing, WANG Qiao*, MA Wan-dong, ZHU Li, YAO Yan-juan, WANG Xue-lei, WU Di |
Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China |
|
|
Abstract With the development of platforms and sensors, continuous repetition of remote sensing observation of the earth surface has been realized, and a mass of multi-source, multi-scale, multi-resolution remote sensing data has been accumulated. Those images have detailedly recorded the changing process of ground objects on the earth, which makes the long term global change research, such as change detection, based on remote sensing become possible, and greatly push forward the research on image processing and application. Although plenty of successful research has been reported, there are still enormous challenges in multi-temporal imagery change detection. A relatively complete mature theoretical system has not formed, and there is still a lack of systematic summary of research progress. Firstly, the current progress in change detection methods using multi-temporal remotely sensed imagery has been reviewed in this paper. Then, the methods are classified into three categories and summarized according to the type and amount of the input data, single-phase post-classification comparison, two-phase comparison, and time series analysis. After that, the possible existing problems in the current development of multi-temporal change detection are analyzed, and the development trend is discussed finally.
|
Received: 2013-03-15
Accepted: 2013-06-20
|
|
Corresponding Authors:
WANG Qiao
E-mail: wangqiao@sepa.gov.cn
|
|
[1] ZHOU Qi-ming(周启鸣). Geomatics World(地理信息世界),2011,02: 28. [2] Sexton J O, Urban D L, Donohue M J, et al. Remote Sensing of Environment, 2013, 128: 246. [3] Xiao X M, Boles S, Fmlidng S. Remote Sensing of Environment, 2006, 100(1):95. [4] Friedl M A, Sulla-Menashe D, Tan B, et al. Remote Sensing of Environment, 2010, 114: 168. [5] Esquerdo J C D M, Zullo Júnior J, Antunes J F G. International Journal of Remote Sensing, 2011, 32: 13, 3711. [6] Thenkabail P S, Gangadhara R P, Biggs T, et al. Photogrammetric Engineering and Remote Sensing, 2007, 73(9): 1029. [7] Gao Y, Mas J F, Navarrete A. International Journal of Digital Earth, 2009, 2(3): 219. [8] Redo D J, Millington A C. Remote Sensing of Environment, 2011, 115(2): 353. [9] SHI Pei-jun, GONG Peng, LI Xiao-bing, et al(史培军,宫 鹏,李晓兵, 等). Methods and Practice of Land Use and Land cover Change Detection(土地利用覆盖变化研究方法与实践). Beijing: Science Press(北京:科学出版社), 2000. [10] Geerken R, Zaitchik B, Evans J P. International Journal of Remote Sensing, 2005, 26: 5535. [11] Warner T. International Journal of Remote Sensing, 2005, 26(6): 1201. [12] Yeary M, Nemati S, Yu T Y, et al. IEEE Geoscience and Remote Sensing Letters, 2007, 4(3): 335. [13] Zhan X, Defries R, Townshend J R G, et al. International Journal of Remote Sensing, 2000, 21: 1433. [14] Lambin E F, Strahler A H. Remote Sensing of Environment, 1994, 48: 231. [15] LI Yue-chen, CHEN Jin, GONG Peng, et al(李月臣,陈 晋,宫 鹏,等). Journal of Basic Science and Engineering(应用基础与工程科学学报),2005,13(3): 261. [16] Wang L, Chen J, Gong P, et al. International Journal of Remote Sensing, 2009, 30(12): 3259. [17] He C Y, Zhao Y Y, Tian J, et al. International Journal of Remote Sensing, 2013, 34(4): 1127. [18] Eastman J R,Fulk M. Photogrammetric Engineering and Remote Sensing, 1993, 59: 991. [19] Bayarjargal Y, Karnieli A, Bayasgalan M, et al. 2006, Remote Sensing of Environment, 2006, 105: 9. [20] Westra T, De Wulf R R. International Journal of Remote Sensing, 2007, 28: 1595. [21] Lackburn B A, Ferwerda J G. Remote Sensing of Environment, 2008, 112: 1614. [22] Borak J S, Lambin E F, Strahler A H. International Journal of Remote Sensing, 2000, 21(6): 1415. [23] Desclée B, Bogaert P, Defourny P. Remote Sensing of Environment, 2006, 102(1): 1. [24] Lunetta R S, Knight J F, Worthy L D. Remote Sensing of Environment, 2006, 105(2): 142. [25] Verbesselt J, Hyndman R, Newnham G, et al. Remote Sensing of Environment, 2010, 114(1): 106. [26] De Jong R, Verbesselt J, Schaepman M E, et al. Global Change Biology, 2012, 18(2): 642. [27] Verbesselt J, Zeileis A, Herold M. Remote Sensing of Environment, 2012. 98. [28] Lu D, Mausel P, Brondizio E, et al. International Journal of Remote Sensing, 2004, 25(12): 2365. [29] LI De-ren(李德仁). Journal of Wuhan University(Natural Science Edition)(武汉大学学报·自然科学版),2003, 28(S): 7. |
[1] |
LIANG Ye-heng1, DENG Ru-ru1, 2*, LIANG Yu-jie1, LIU Yong-ming3, WU Yi4, YUAN Yu-heng5, AI Xian-jun6. Spectral Characteristics of Sediment Reflectance Under the Background of Heavy Metal Polluted Water and Analysis of Its Contribution to
Water-Leaving Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 111-117. |
[2] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
[3] |
ZHU Wen-jing1, 2,FENG Zhan-kang1, 2,DAI Shi-yuan1, 2,ZHANG Ping-ping3,JI Wen4,WANG Ai-chen1, 2,WEI Xin-hua1, 2*. Multi-Feature Fusion Detection of Wheat Lodging Information Based on UAV Multispectral Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 197-206. |
[4] |
LIANG Shou-zhen1, SUI Xue-yan1, WANG Meng1, WANG Fei1, HAN Dong-rui1, WANG Guo-liang1, LI Hong-zhong2, MA Wan-dong3. The Influence of Anthocyanin on Plant Optical Properties and Remote Sensing Estimation at the Scale of Leaf[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 275-282. |
[5] |
HUANG You-ju1, TIAN Yi-chao2, 3*, ZHANG Qiang2, TAO Jin2, ZHANG Ya-li2, YANG Yong-wei2, LIN Jun-liang2. Estimation of Aboveground Biomass of Mangroves in Maowei Sea of Beibu Gulf Based on ZY-1-02D Satellite Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3906-3915. |
[6] |
LI Si-yuan, JIAO Jian-nan, WANG Chi*. Specular Reflection Removal Method Based on Polarization Spectrum
Fusion and Its Application in Vegetation Health Monitoring[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3607-3614. |
[7] |
ZHU Zhi-cheng1, WU Yong-feng2*, MA Jun-cheng2, JI Lin2, LIU Bin-hui3*, JIN Hai-liang1*. Response of Winter Wheat Canopy Spectra to Chlorophyll Changes Under Water Stress Based on Unmanned Aerial Vehicle Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3524-3534. |
[8] |
CUI Zhen-zhen1, 2, MA Chao1, ZHANG Hao2*, ZHANG Hong-wei3, LIANG Hu-jun3, QIU Wen2. Absolute Radiometric Calibration of Aerial Multispectral Camera Based on Multi-Scale Tarps[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3571-3581. |
[9] |
TAO Jing-zhe1, 3, SONG De-rui1, 3, SONG Chuan-ming2, WANG Xiang-hai1, 2*. Multi-Band Remote Sensing Image Sharpening: A Survey[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2999-3008. |
[10] |
FU Xiao-man1, 2, BAO Yu-long1, 2*, Bayaer Tubuxin1, 2, JIN Eerdemutu1, 2, BAO Yu-hai1, 2. Spectral Characteristics Analysis of Desert Steppe Vegetation Based on Field Online Multi-Angle Spectrometer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3170-3179. |
[11] |
CHEN Hao1, 2, WANG Hao3*, HAN Wei3, GU Song-yan4, ZHANG Peng4, KANG Zhi-ming1. Impact Analysis of Microwave Real Spectral Response on Rapid Radiance Simulation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3260-3265. |
[12] |
WANG Lin, WANG Xiang*, ZHOU Chao, WANG Xin-xin, MENG Qing-hui, CHEN Yan-long. Remote Sensing Quantitative Retrieval of Chlorophyll a and Trophic Level Index in Main Seagoing Rivers of Lianyungang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3314-3320. |
[13] |
FENG Hai-kuan1, 2, YUE Ji-bo3, FAN Yi-guang2, YANG Gui-jun2, ZHAO Chun-jiang1, 2*. Estimation of Potato Above-Ground Biomass Based on VGC-AGB Model and Hyperspectral Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2876-2884. |
[14] |
JIN Chun-bai1, YANG Guang1*, LU Shan2*, LIU Wen-jing1, LI De-jun1, ZHENG Nan1. Band Selection Method Based on Target Saliency Analysis in Spatial Domain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2952-2959. |
[15] |
GAO Yu1, SUN Xue-jian1*, LI Guang-hua2, ZHANG Li-fu1, QU Liang2, ZHANG Dong-hui1, CHANG Jing-jing2, DAI Xiao-ai3. Study on the Derivation of Paper Viscosity Spectral Index Based on Spectral Information Expansion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2960-2966. |
|
|
|
|