|
[1]
|
A. Singh, “Review Article Digital Change Detection Techniques Using Remotely-Sensed Data,” International Journal of Remote Sensing, Vol. 10, No. 6, 1989, pp. 989-1003. doi:10.1080/01431168908903939
|
|
[2]
|
D. Lu, et al., “Change Detection Techniques,” International Journal of Remote Sensing, Vol. 25, No. 12, 2004, pp. 2365-2401. doi:10.1080/0143116031000139863
|
|
[3]
|
T. Ramachandra and U. Kumar, “Geographic Resources Decision Support System for Land Use, Land Cover Dynamics Analysis,” Proceedings of the FOSS/GRASS Users Conference, Bangkok, September 2004.
|
|
[4]
|
J. R. E. Jensen, “Urban/Suburban Land Use Analysis,” American Society of Photogrammetry, Falls Church, Virginia, Vol. 2, 1983, pp. 1571-1666.
|
|
[5]
|
J. Rogan and D. M. Chen, “Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change,” Progress in Planning, Vol. 61, No. 4, 2004, pp. 301-325. doi:10.1016/S0305-9006(03)00066-7
|
|
[6]
|
E. Brondizio, et al., “Land Use Change in the Amazon Estuary: Patterns of Caboclo Settlement and Landscape Management,” Human Ecology, Vol. 22, No. 3, 1994, pp. 249-278. doi:10.1007/BF02168853
|
|
[7]
|
T. Kuemmerle, et al., “Cross-Border Comparison of Land Cover and Landscape Pattern in Eastern Europe Using a Hybrid Classification Technique,” Remote Sensing of Environment, Vol. 103, No. 4, 2006, pp. 449-464.
doi:10.1016/j.rse.2006.04.015
|
|
[8]
|
R. Pelorosso, et al., “Land Cover and Land Use Change in the Italian Central Apennines: A Comparison of Assessment Methods,” Applied Geography, Vol. 29, No. 1, 2009, pp. 35-48. doi:10.1016/j.apgeog.2008.07.003
|
|
[9]
|
R. B. Thapa and Y. Murayama, “Urban Mapping, Accuracy, & Image Classification: A Comparison of Multiple Approaches in Tsukuba City, Japan,” Applied Geography, Vol. 29, No. 1, 2009, pp. 135-144.
doi:10.1016/j.apgeog.2008.08.001
|
|
[10]
|
W. Z. Michalak, “GIS in Land Use Change Analysis: Integration of Remotely Sensed Data into GIS,” Applied Geography, Vol. 13, No. 1, 1993, pp. 28-44.
doi:10.1016/0143-6228(93)90078-F
|
|
[11]
|
Q. Weng, “A Remote Sensing GIS Evaluation of Urban Expansion and Its Impact on Surface Temperature in the Zhujiang Delta, China,” International Journal of Remote Sensing, Vol. 22, No. 10, 2001, pp. 1999-2014.
doi:10.1080/01431160118847
|
|
[12]
|
J. Rogan, et al., “Integrating GIS and Remotely Sensed Data for Mapping Forest Disturbance and Change,” In: M. A. Wulder and S. E. Franklin, Eds., Understanding Forest Disturbance and Spatial Pattern: Remote Sensing and GIS Approaches, 2007, pp. 133-171.
|
|
[13]
|
D. A. Mouat, et al., “Remote Sensing Techniques in the Analysis of Change Detection,” Geocarto International, Vol. 8, No. 2, 1993, pp. 39-50.
doi:10.1080/10106049309354407
|
|
[14]
|
P. Deer, “Digital Change Detection Techniques in Remote Sensing,” DTIC Document, 1995.
|
|
[15]
|
J. R. Jensen, “Introductory Digital Image Processing: A Remote Sensing Perspective,” In: K. C. Clarke, Ed., 3rd Edition, Prentice Hall, The United States of America, 2005.
|
|
[16]
|
D. M. Muchoney and B. N. Haack, “Change Detection for Monitoring Forest Defoliation,” Photogrammetric Engineering and Remote Sensing, Vol. 60, No. 10, 1994, pp. 1243-1251.
|
|
[17]
|
S. S. Podeh, et al., “Forest Change Detection in the North of Iran Using TM/ETM+ Imagery,” Asian Journal of Applied Sciences, Vol. 2, No. 6, 2009, pp. 464-474.
doi:10.3923/ajaps.2009.464.474
|
|
[18]
|
M. Jahari, et al., “Change Detection Studies in Matang Mangrove Forest Area, Perak,” Pertanika Journal of Science and Technology, Vol. 19, No. 2, 2011, pp. 307-327.
|
|
[19]
|
P. L. Rosin and T. Ellis, “Image Difference Threshold Strategies and Shadow Detection,” Proceedings of the 6th British Machine Vision Conference, Citeseer, 1995.
|
|
[20]
|
P. A. Rogerson, “Change Detection Thresholds for Remotely Sensed Images,” Journal of Geographical Systems, Vol. 4, No. 1, 2002, pp. 85-97.
doi:10.1007/s101090100076
|
|
[21]
|
R. Weismiller, et al., “Change Detection in Coastal Zone Environments,” Photogrammetric Engineering and Remote Sensing, Vol. 43, No. 12, 1977, pp. 1533-1539.
|
|
[22]
|
T. L. Sohl, “Change Analysis in the United Arab Emirates: An Investigation of Techniques,” Photogrammetric Engineering and Remote Sensing, Vol. 65, No. 4, 1999, pp. 475-484.
|
|
[23]
|
H. A. Afify, “Evaluation of Change Detection Techniques for Monitoring Land-Cover Changes: A Case Study in New Burg El-Arab Area,” Alexandria Engineering Journal, Vol. 50, No. 2, 2011, pp. 187-195.
doi:10.1016/j.aej.2011.06.001
|
|
[24]
|
J. R. Jensen and D. Toll, “Detecting Residential Land-Use Development at the Urban Fringe,” Photogrammetric Engineering & Remote Sensing, Vol. 48, No. 4, 1982, pp. 629-643.
|
|
[25]
|
D. Williams and M. Stauffer, “Monitoring Gypsy Moth Defoliation by Applying Change Detection Techniques to Landsat Imagery,” Proceeding of the Sympsium on Vegetation Damage Assessment, American Society of Photogammetry, Falls Church, 1978, pp. 221-229.
|
|
[26]
|
M. K. Ridd and J. Liu, “A Comparison of Four Algorithms for Change Detection in an Urban Environment,” Remote Sensing of Environment, Vol. 63, No. 2, 1998, pp. 95-100. doi:10.1016/S0034-4257(97)00112-0
|
|
[27]
|
P. S. Chavez and D. J. MacKinnon, “Automatic Detection of Vegetation Changes in the Southwestern United States Using Remotely Sensed Images,” Photogrammetric Engineering and Remote Sensing, Vol. 60, No. 5, 1994, pp. 571-583.
|
|
[28]
|
P. Pilon, et al., “An Enhanced Classification Approach to Change Detection in Semi-Arid Environments,” Photogrammetric Engineering and Remote Sensing, Vol. 54, No. 12, 1988, pp. 1709-1716.
|
|
[29]
|
H. Alphan, “Comparing the Utility of Image Algebra Operations for Characterizing Landscape Changes: The Case of the Mediterranean Coast,” Journal of Environmental Management, Vol. 92, No. 11, 2011, pp. 2961-2971. doi:10.1016/j.jenvman.2011.07.009
|
|
[30]
|
P. J. Howarth and G. M. Wickware, “Procedures for Change Detection Using Landsat Digital Data,” International Journal of Remote Sensing, Vol. 2, No. 3, 1981, p. 277-291. doi:10.1080/01431168108948362
|
|
[31]
|
R. Nelson, “Detecting Forest Canopy Change Due to Insect Activity Using Landsat MSS,” Photogrammetric Engineering and Remote Sensing, Vol. 49, 1983, pp. 1303-1314.
|
|
[32]
|
A. Prakash and R. Gupta, “Land-Use Mapping and Change Detection in a Coal Mining Area—A Case Study in the Jharia Coalfield, India,” International Journal of Remote Sensing, Vol. 19, No. 3, 1998, pp. 391-410.
doi:10.1080/014311698216053
|
|
[33]
|
S. Baronti, et al. “Principal Component Analysis for Change Detection on Polarimetric Multitemporal SAR Data,” Geoscience and Remote Sensing Symposium, Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation, 1994.
|
|
[34]
|
G. M. Foody, et al., “Classification of Remotely Sensed Data by an Artificial Neural Network: Issues Related to Training Data Characteristics,” Photogrammetric Engineering and Remote Sensing, Vol. 61, No. 4, 1995, pp. 391-401.
|
|
[35]
|
J. Jensen, et al., “Predictive Modelling of Coniferous Forest Age Using Statistical and Artificial Neural Network Approaches Applied to Remote Sensor Data,” International Journal of Remote Sensing, Vol. 20, No. 14, 1999, pp. 2805-2822. doi:10.1080/014311699211804
|
|
[36]
|
T. R. Allen and J. A. Kupfer, “Application of Spherical Statistics to Change Vector Analysis of Landsat Data: Southern Appalachian Spruce-Fir Forests,” Remote Sensing of Environment, Vol. 74, No. 3, 2000, pp. 482-493.
doi:10.1016/S0034-4257(00)00140-1
|
|
[37]
|
C. Silapaswan, et al., “Land Cover Change on the Seward Peninsula: The Use of Remote Sensing to Evaluate the Potential Influences of Climate Warming on Historical Vegetation Dynamics,” Canadian Journal of Remote Sensing, Vol. 27, No. 5, 2001, pp. 542-554.
|
|
[38]
|
X. Liu and R. G. Lathrop, “Urban Change Detection Based on an Artificial Neural Network,” International Journal of Remote Sensing, Vol. 23, No. 12, 2002, pp. 2513-2518. doi:10.1080/01431160110097240
|
|
[39]
|
L. Castellana, A. d’Addabbo and G. Pasquariello, “A Composed Supervised/Unsupervised Approach to Improve Change Detection from Remote Sensing,” Pattern Recognition Letters, Vol. 28, No. 4, 2007, pp. 405-413.
doi:10.1016/j.patrec.2006.08.010
|
|
[40]
|
W. Zhou, et al., “Object-Based Land Cover Classification of Shaded Areas in High Spatial Resolution Imagery of Urban Areas: A Comparison Study,” Remote Sensing of Environment, Vol. 113, No. 8, 2009, pp. 1769-1777.
doi:10.1016/j.rse.2009.04.007
|
|
[41]
|
J. Miettinen, et al., “2010 Land Cover Map of Insular Southeast Asia in 250-m Spatial Resolution,” Remote Sensing Letters, Vol. 3, No. 1, 2011, pp. 11-20.
doi:10.1080/01431161.2010.526971
|
|
[42]
|
Q. Zhang, et al., “Urban Built-Up Land Change Detection with Road Density and Spectral Information from MultiTemporal Landsat TM Data,” International Journal of Remote Sensing, Vol. 23, No. 15, 2002, pp. 3057-3078.
doi:10.1080/01431160110104728
|
|
[43]
|
Y. Liu, et al., “Analysis of Four Change Detection Algorithms in Bi-Temporal Space with a Case Study,” International Journal of Remote Sensing, Vol. 25, No. 11, 2004, pp. 2121-2139.
doi:10.1080/01431160310001606647
|
|
[44]
|
D. Peijun, et al., “Fusion of Difference Images for Change Detection over Urban Areas,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, No. 4, 2012, pp. 1076-1086.
doi:10.1109/JSTARS.2012.2200879
|
|
[45]
|
A. J. Peters, et al., “Drought Monitoring with NDVIBased Standardized Vegetation Index,” Photogrammetric Engineering and Remote Sensing, Vol. 68, No. 1, 2002, pp. 71-75.
|
|
[46]
|
M. W. Schoppmann and W. A. Tyler, “Chernobyl Revisited: Monitoring Change with Change Vector Analysis,” Geocarto International, Vol. 11, No. 1, 1996, pp. 13-27.
doi:10.1080/10106049609354520
|
|
[47]
|
S. E. Franklin and B. Wilson, “Vegetation Mapping and Change Detection Using SPOT MLA and Landsat Imagery in Kluane National Park,” Canadian Journal of Remote Sensing, Vol. 17, No. 1, 1991, pp. 2-22.
|
|
[48]
|
J. B. Thayn, “Assessing Vegetation Cover on the Date of Satellite-Derived Start of Spring,” Remote Sensing Letters, Vol. 3, No. 8, 2012, pp. 721-728.
doi:10.1080/2150704X.2012.674227
|
|
[49]
|
D. Zheng, et al., “Rates and Patterns of Landscape Change between 1972 and 1988 in the Changbai Mountain Area of China and North Korea,” Landscape Ecology, Vol. 12, No. 4, 1997, pp. 241-254.
doi:10.1023/A:1007963324520
|
|
[50]
|
W. G. Kepner, et al., “A Landscape Approach for Detecting and Evaluating Change in a Semi-Arid Environment,” Environmental Monitoring and Assessment, Vol. 64, No. 1, 2000, pp. 179-195.
doi:10.1023/A:1006427909616
|
|
[51]
|
J. Taylor, et al., “Monitoring Landscape Change in the National Parks of England and Wales Using Aerial Photo Interpretation and GIS,” International Journal of Remote Sensing, Vol. 21, No. 13-14, 2000, pp. 2737-2752.
doi:10.1080/01431160050110269
|
|
[52]
|
R. M. Lucas, et al., “Characterizing Tropical Secondary Forests Using Multi-Temporal Landsat Sensor Imagery,” International Journal of Remote Sensing, Vol. 14, No. 16, 1993, pp. 3061-3067. doi:10.1080/01431169308904419
|
|
[53]
|
D. J. Hayes and S. A. Sader, “Comparison of ChangeDetection Techniques for Monitoring Tropical Forest Clearing and Vegetation Regrowth in a Time Series,” Photogrammetric Engineering and Remote Sensing, Vol. 67, No. 9, 2001, pp. 1067-1075.
|
|
[54]
|
E. H. Wilson and S. A. Sader, “Detection of Forest Harvest Type Using Multiple Dates of Landsat TM Imagery,” Remote Sensing of Environment, Vol. 80, No. 3, 2002, pp. 385-396. doi:10.1016/S0034-4257(01)00318-2
|
|
[55]
|
E. J. Christensen, et al., “Aircraft MSS Data Registration and Vegetation Classification for Wetland Change Detection,” International Journal of Remote Sensing, Vol. 9, No. 1, 1988, pp. 23-38. doi:10.1080/01431168808954834
|
|
[56]
|
J. Jensen, et al., “An Evaluation of the Coast Watch Change Detection Protocol in South Carolina,” Photogrammetric Engineering and Remote Sensing, Vol. 59, No. 6, 1993, pp. 1039-1044.
|
|
[57]
|
C. Munyati, “Wetland Change Detection on the Kafue Flats, Zambia, by Classification of a Multitemporal Remote Sensing Image Dataset,” International Journal of Remote Sensing, Vol. 21, No. 9, 2000, pp. 1787-1806.
doi:10.1080/014311600209742
|
|
[58]
|
J. L. Michalek, et al., “Multispectral Change Vector Analysis for Monitoring Coastal Marine Environments,” Photogrammetric Engineering and Remote Sensing, Vol. 59, No. 3, 1993, pp. 635-641.
|
|
[59]
|
S. Berberoglu and A. Akin, “Assessing Different Remote Sensing Techniques to Detect Land Use/Cover Changes in the Eastern Mediterranean,” International Journal of Applied Earth Observation and Geoinformation, Vol. 11, No. 1, 2009, pp. 46-53. doi:10.1016/j.jag.2008.06.002
|
|
[60]
|
A. Singh and A. Harrison, “Standardized Principal Components,” International Journal of Remote Sensing, Vol. 6, No. 6, 1985, pp. 883-896.
doi:10.1080/01431168508948511
|
|
[61]
|
B. Tso and P. P. Mather, “Classification Methods for Remotely Sensed Data,” 2nd Edition, CRC Press, Boca Raton, 2009. doi:10.1201/9781420090741
|
|
[62]
|
D. C. Howell, “Chi-Square Test-Analysis of Contingency Tables,” Women, Vol. 35, No. 3, 2009, pp. 28-83.
|
|
[63]
|
S. I. Gordon, “Utilizing LANDSAT Imagery to Monitor Land-Use Change: A Case Study in Ohio,” Remote Sensing of Environment, Vol. 9, No. 3, 1980, pp. 189-196.
doi:10.1016/0034-4257(80)90028-0
|
|
[64]
|
J. Jensen, et al., “Inland Wetland Change Detection Using Aircraft MSS Data,” Photogrammetric Engineering and Remote Sensing, Vol. 53, No. 5, 1987, pp. 521-529.
|
|
[65]
|
M. U. H. Dimyati, et al., “An Analysis of Land Use/Cover Change in Indonesia,” International Journal of Remote Sensing, Vol. 17, No. 5, 1996, pp. 931-944.
doi:10.1080/01431169608949056
|
|
[66]
|
C. Song, et al., “Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?” Remote Sensing of Environment, Vol. 75, No. 2, 2001, pp. 230-244.
doi:10.1016/S0034-4257(00)00169-3
|
|
[67]
|
D. L. Civco, et al., “A Comparison of Land Use and Land Cover Change Detection Methods,” Proceedings of the 2002 ASPRS Annual Convention, Washington DC, 22-26 April 2002.
|
|
[68]
|
J. Aguirre-Gutiérrez, et al., “Optimizing Land Cover Classification Accuracy for Change Detection, a Combined Pixel-Based and Object-Based Approach in a Mountainous Area in Mexico,” Applied Geography, Vol. 34, 2012, pp. 29-37. doi:10.1016/j.apgeog.2011.10.010
|
|
[69]
|
J. O. Sexton, et al., “Long-Term Land Cover Dynamics by Multi-Temporal Classification across the Landsat-5 Record,” Remote Sensing of Environment, Vol. 128, No. 21, 2013, pp. 246-258. doi:10.1016/j.rse.2012.10.010
|
|
[70]
|
J. F. Mas, “Monitoring Land-Cover Changes: A Comparison of Change Detection Techniques,” International Journal of Remote Sensing, Vol. 20, No. 1, 1999, pp. 139-152. doi:10.1080/014311699213659
|
|
[71]
|
J. J. Schulz, et al., “Monitoring Land Cover Change of the Dryland Forest Landscape of Central Chile (1975-2008),” Applied Geography, Vol. 30, No. 3, 2010, pp. 436-447. doi:10.1016/j.apgeog.2009.12.003
|
|
[72]
|
X. Li and A. Yeh, “Principal Component Analysis of Stacked Multi-Temporal Images for the Monitoring of Rapid Urban Expansion in the Pearl River Delta,” International Journal of Remote Sensing, Vol. 19, No. 8, 1998, pp. 1501-1518. doi:10.1080/014311698215315
|
|
[73]
|
O. R. Abd El-Kawy, et al., “Land Use and Land Cover Change Detection in the Western Nile Delta of Egypt Using Remote Sensing Data,” Applied Geography, Vol. 31, No. 2, 2011, pp. 483-494.
doi:10.1016/j.apgeog.2010.10.012
|
|
[74]
|
R. D. Macleod and R. G. Congalton, “A Quantitative Comparison of Change-Detection Algorithms for Monitoring Eelgrass from Remotely Sensed Data,” Photogrammetric Engineering and Remote Sensing, Vol. 64, No. 3, 1998, pp. 207-216.
|
|
[75]
|
A. B. Brink and H. D. Eva, “Monitoring 25 Years of Land Cover Change Dynamics in Africa: A Sample Based Remote Sensing Approach,” Applied Geography, Vol. 29, No. 4, 2009, pp. 501-512.
doi:10.1016/j.apgeog.2008.10.004
|
|
[76]
|
V. B. Rao and H. V. Rao, “C++ Neural Networks and Fuzzy Logic,” MIS-Press, New York, 1993.
|
|
[77]
|
G. Foody and M. Arora, “An Evaluation of Some Factors Affecting the Accuracy of Classification by an Artificial Neural Network,” International Journal of Remote Sensing, Vol. 18, No. 4, 1997, pp. 799-810.
doi:10.1080/014311697218764
|
|
[78]
|
J. Benediktsson and J. Sveinsson, “Feature Extraction for Multisource Data Classification with Artificial Neural Networks,” International Journal of Remote Sensing, Vol. 18, No. 4, 1997, pp. 727-740.
doi:10.1080/014311697218728
|
|
[79]
|
J. R. Jensen, F. Qiu and K. Patterson, “A Neural Network Image Interpretation System to Extract Rural and Urban Land Use and Land Cover Information from Remote Sensor Data,” Geocarto International, Vol. 16, No. 1, 2001, pp. 21-30. doi:10.1080/10106040108542179
|
|
[80]
|
F. Qiu and J. Jensen, “Opening the Black Box of Neural Networks for Remote Sensing Image Classification,” International Journal of Remote Sensing, Vol. 25, No. 9, 2004, pp. 1749-1768.
doi:10.1080/01431160310001618798
|
|
[81]
|
J. F. Mas, “Mapping Land Use/Cover in a Tropical Coastal Area Using Satellite Sensor Data, GIS and Artificial Neural Networks,” Estuarine, Coastal and Shelf Science, Vol. 59, No. 2, 2004, pp. 219-230.
doi:10.1016/j.ecss.2003.08.011
|
|
[82]
|
J. Y. G., et al., “A Review of Multi-Temporal Remote Sensing Data Change Detection Algorithms,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 37, No. B7, 2008, pp. 757-762.
|
|
[83]
|
Y. Zhang, et al., “Hybrid Change Detection for Watershed Impervious Surface Using Multi-Time Remotely Sensed Data,” IEEE International of Geoscience and Remote Sensing Symposium, Barcelona, 23-28 July 2007, pp. 1939-1942.
|
|
[84]
|
L. Wald, “Some Terms of Reference in Data Fusion,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 3, 1999, pp. 1190-1193.
doi:10.1109/36.763269
|
|
[85]
|
Y. Zeng, et al., “Image Fusion for Land Cover Change Detection,” International Journal of Image and Data Fusion, Vol. 1, No. 2, 2010, pp. 193-215.
doi:10.1080/19479831003802832
|
|
[86]
|
M. Xu, et al., “Decision Tree Regression for Soft Classification of Remote Sensing Data,” Remote Sensing of Environment, Vol. 97, No. 3, 2005, pp. 322-336.
doi:10.1016/j.rse.2005.05.008
|
|
[87]
|
M. C. Hansen, et al., “Global Land Cover Classification at 1 km Spatial Resolution Using a Classification Tree Approach,” International Journal of Remote Sensing, Vol. 21, No. 6-7, 2000, pp. 1331-1364.
doi:10.1080/014311600210209
|
|
[88]
|
X. Yang, et al., “Impacts of Land Use and Land Cover Changes on Evapotranspiration and Runoff at Shalamulun River Watershed, China,” Hydrology Research, Vol. 43, No. 1-2, 2012, pp. 23-37.
|
|
[89]
|
R. Efe, et al., “Land Use and Land Cover Change Detection in Karinca River Catchment (NW Turkey) Using GIS and RS Techniques,” Journal of Environmental Biology, Vol. 33, No. 2, 2012, pp. 439-447.
|
|
[90]
|
D. Tripathi and M. Kumar, “Remote Sensing Based Analysis of Land Use/Land Cover Dynamics in Takula Block, Almora District(Uttarakhand),” Journal of Human Ecology, Vol. 38, No. 3, 2012, pp. 207-212.
|
|
[91]
|
S. Gajbhiye and S. K. Sharma, “Land Use and Land Cover Change Detection of Indra River Watershed through Remote Sensing Using Multi-Temporal satellite Data,” International Journal of Geomatics and Geosciences, Vol. 3, No. 1, 2012, pp. 89-96.
|
|
[92]
|
S. Reis, “Analyzing Land Use/Land Cover Changes Using Remote Sensing and GIS in Rize, North-East Turkey,” Sensors, Vol. 8, No. 10, 2008, pp. 6188-6202.
doi:10.3390/s8106188
|
|
[93]
|
P. P. Serra, et al., “Land-Cover and Land-Use Change in a Mediterranean Landscape: A Spatial Analysis of Driving Forces Integrating Biophysical and Human Factors,” Applied Geography, Vol. 28, No. 3, 2008, pp. 189-209.
doi:10.1016/j.apgeog.2008.02.001
|
|
[94]
|
I. Abbas, et al., “Mapping Land Use-Land Cover and Change Detection in Kafur Local Government, Katsina, Nigeria (1995-2008) Using Remote Sensing and GIS,” Research Journal of Environmental and Earth Sciences, Vol. 2, No. 1, 2010, pp. 6-12.
|
|
[95]
|
N. Nagarajan and S. Poongothai, “Effect of Land Use/ Land Cover Change Detection of Ungauged Watershed,” World Applied Sciences Journal, Vol. 17, No. 6, 2012, pp. 718-723.
|
|
[96]
|
R. G. Congalton, “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data,” Remote Sensing of Environment, Vol. 37, No. 1, 1991, pp. 35-46.
doi:10.1016/0034-4257(91)90048-B
|
|
[97]
|
C. Conese and F. Maselli, “Use of Error Matrices to Improve Area Estimates with Maximum Likelihood Classification Procedures,” Remote Sensing of Environment, Vol. 40, No. 2, 1992, pp. 113-124.
doi:10.1016/0034-4257(92)90009-9
|
|
[98]
|
G. M. Foody, “Status of Land Cover Classification Accuracy Assessment,” Remote Sensing of Environment, Vol. 80, No. 1, 2002, pp. 185-201.
doi:10.1016/S0034-4257(01)00295-4
|
|
[99]
|
R. Latifovic and I. Olthof, “Accuracy Assessment Using Sub-Pixel Fractional Error Matrices of Global Land Cover Products Derived from Satellite Data,” Remote Sensing of Environment, Vol. 90, No. 2, 2004, pp. 153-165.
doi:10.1016/j.rse.2003.11.016
|
|
[100]
|
H. Liu and Q. Zhou, “Accuracy Analysis of Remote Sensing Change Detection by Rule-Based Rationality Evaluation with Post-Classification Comparison,” International Journal of Remote Sensing, Vol. 25, No. 5, 2004, pp. 1037-1050. doi:10.1080/0143116031000150004
|
|
[101]
|
C. Liu, et al., “Comparative Assessment of the Measures of Thematic Classification Accuracy,” Remote Sensing of Environment, Vol. 107, No. 4, 2007, pp. 606-616.
doi:10.1016/j.rse.2006.10.010
|
|
[102]
|
P. P. L. Zimmerman, et al., “An Accuracy Assessment of Forest Disturbance Mapping in the Western Great Lakes,” Remote Sensing of Environment, Vol. 128, No. 21, 2013, pp. 176-185. doi:10.1016/j.rse.2012.09.017
|
|
[103]
|
A. Comber, et al., “Spatial Analysis of Remote Sensing Image Classification Accuracy,” Remote Sensing of Environment, Vo. 127, 2012, pp. 237-246.
doi:10.1016/j.rse.2012.09.005
|
|
[104]
|
R. G. Congalton and K. Green, “Assessing the Accuracy of Remotely Sensed Data: Principles and Practices,” 2th Edition, CRC Press, Boca Raton, 2008.
doi:10.1201/9781420055139
|
|
[105]
|
P. A. J. van Oort, “Interpreting the Change Detection Error Matrix,” Remote Sensing of Environment, Vol. 108, No. 1, 2007, pp. 1-8. doi:10.1016/j.rse.2006.10.012
|
|
[106]
|
P. P. Olofsson, et al., “Making Better Use of Accuracy Data in Land Change Studies: Estimating Accuracy and Area and Quantifying Uncertainty Using Stratified Estimation,” Remote Sensing of Environment, Vol. 129, No. 15, 2013, pp. 122-131. doi:10.1016/j.rse.2012.10.031
|
|
[107]
|
G. Banko, “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data and of Methods Including Remote Sensing Data in Forest Inventory,” International Institute for Applied Systems Analysis, Laxenburg, 1998.
|
|
[108]
|
R. G. Congalton, et al., “Quality Assurance and Accuracy Assessment of Information Derived from Remotely Sensed Data,” In: J. D. Bossler, Ed., Manual of Geospatial Science and Technology, CRC Press, London, 2001, pp. 349-361.
|
|
[109]
|
G. M. Foody, “Assessing the Accuracy of Land Cover Change with Imperfect Ground Reference Data,” Remote Sensing of Environment, Vol. 114, No. 10, 2010, pp. 2271-2285. doi:10.1016/j.rse.2010.05.003
|