GF-1 Image Quality Evaluation and applications potential for
Abstract
To objectively evaluate the image quality of GF-1 and its potential for application of the mining Classification, the Pingshuo mining area in Loess Plateau is selected as the study area. Compared with the same temporal images of
SPOT 6, the images of GF-1 were. The evaluation index from two aspects such as gray level feature and texture feature
are to conduct the project Quality. Statistical results show that GF-4 images contain amount of gray information and
rich feature types; which can describe the details of the surface information. To analysis the application potential of
GF-4 image, the process of land cover classification is worked out by means of M Aximum Likelihood method
Classification pixels-dased and nearest neighbor method classification object-oriented Vely. The comparing the
classification results testified that GF-1 image ' s overall classification-effect was inferior to SPOT 6 Image, but the
GF-1 image is still able to quickly and efficiently obtain the information depleted land and mined Surrounding, and
could provided the base data for mine ecological restoration and vegetation.
References
Bai Zhaoquang . Technical features of satellite high-score [J]. China Space , 2013 (8) : 6-9.
once rooted , Zhonghaiquan , Shard Deep . from an image engineering
perspective CBERS4 satellite image [!]. Aerospace Return and remote sensing , 2001,22 (3): 4045.
schueler C F, Salomonson v v. Landsat Image Data Quality Studies [J]. Advances in Space, 1985,5 (5): A.
HILL J, Aifadopoulou D. Comparative analysis of the land-sat-5 TM and SPOT hrv-l Data for use in multiple
Sensor Ap proaches [J]. Remote sensing Environment, 1990,34:5570.
Liu Yaolin, Zhaoxiang, Mathaya , etc . Tm/etm + Image atmosphere Correction Products Quality evaluation
Method Research [J]. Journal of Surveying and Mapping ,2012,41 (4): 549-555.
COHEN W B, Maiersperger T K, Yang Z Q, et al. Comparisons of land Cover and LAI estimates Derived from
ETM + and Modis for Four Sites in North america:a Quality assessment to 2000/2001 provisional MODIS
products [J]. Remote Sensing of environment,2003,88 (3): 233-255.
Yamaguchi Y, Fujisada H, TSU H, et al Aster early Image evaluation [J]. Advances in Space research,2001,28 (1):
-76.
RYAN R, Baldridge B, Schowengerdt R A, et al IKONOS Spatial resolution and Image interpretability
Characteriza tion [J]. Remote Sensing of Environment, 2003,88 (a): 37-52.
astrand P J, Bongiorni m, Crespi M, et al. The potential of WorldView-2 for Ortho-image Production within the
"Control with Remote sensing programme" of the Europe An Commission [J]. International Journal of the Applied
Earth observation and geoinformation,2012,19:335-347.
AGUILAR M A, Saldana m, AGUILAR F J. Assessing geometric accuracy of the orthorectification Process from
Geoe Ye-4 and WorldView-2 panchromatic Images [J]. International Journal of the Applied Earth Observation and
Geoinformation, 2013,21:427-435.
Zhangxia , Zhang Bing, Shou , etc . Multi-spectral scanning of the China-Pakistan Earth Resources Satellite image
quality evaluation [J] China Image Graphics journal,2002, (6): 581586.
Zhaoshu , Feng Xuezhi , Zhao Rui . The quality of Nanjing data for the China- Pakistan resource No. vs. geometric correction evaluation [J] Remote sensing technology and Applications , 2009,(3): 170174.
Su Xiaohui, Zhang Xiaodong, su , etc . HJ4 satellite lifetime extension CCD image quality volume evaluation and
Availability Analysis [J]. Journal of Agricultural Engineering , 2012,28 ( ): 164-170.
Wang Qian studied , Zhang Zhanxiang , Sheng , , and so on . Beijing One small satellite image quality and Land
Use classification precision research [J]. Journal of Chinese Mining University , 2007,6 (3): 386-389.
Zhang Fei Yan , She Wei, Lin Liyu, etc. . based on the natural image statistical characteristics of the wavelet
domain No reference remote sensing image quality evaluation[J]. Journal of Electronic and
Information , 2011,3 (one) : 2742-2747.
ZHANG Q, HAN y, CAI y Z. Novel full-reference Image Quality assessment Metric Based on Entropy Fusion
[J]. op-tik,2013,124:5149-5153.
Zhang , Cantor all , Ping Xi build , , and so on . real-world diagram with image quality evaluation image and
computer-generated authentication methods [J]. Journal of Surveying and Mapping science and technology , 2008 , 5 (5): 355-358.
Yuanyuan , Wang Hongnan , Wang Jing , , and so on . CBERS4 Satellite extended image Data quality Evaluation
Research [J]. Aerospace Return and remote sensing ,2003 , ( 4): 34-39.
Fu Peng , Sun Guanseng , Guize , , and so on . A remote sensing image signal-to-noise ratio assessment and
measurement guideline [J]. Journal of Surveying and Mapping , 2013,42 (4): 559-567.
SU W, LI J, CHEN Y H, et al. textural and local Spatial Statistics for the object-oriented classification of URB An
Areas Using a high resolution imagery [J]. International Journal of Remote sensing,2008 (a): 3105-3117.
Yebao , White Chinese section , Kondenqui , , and so on . Antaibao Open coal mine land destruction and soil Land
Reclamation Dynamic Change Remote sensing survey[J]. University Journal , 2008 ( 9) : 972-976.
Lindong , Qinzhiyuan , Yang Yanji , , and so on . high-resolution remote sensing image multi-feature
synergy Object Sorting method [J] Journal of Surveying and Mapping science and technology ,2014 , 1 (2):
Rokai , Li Rendong , Chang , , and so on . Object-oriented Hubei province land cover change Remote Sensing
Rapid monitoring [J]. Journal of Agricultural Engineering, 2013: 260267.
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