CCD ADVANCES IN EARTH SCIENCE CCD TM CCD CCD 0. 05% A TP732 ETM + Enhanced Thematic Mapper Plus. 4 CCD Charge Coupled Device

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1 ADVANCES IN EARTH SCIENCE Vol. 26 No. 9 Sep CCD J Liu Rui Sun Jiulin Wang Juanle et al. Data quality evaluation of chinese HJ CCD sensor J. Advances in Earth Science * CCD CCD TM 2 CCD 1 CCD 0. 05% 2CCD TM 3CCD CCD / 4CCD 4 TM TP732 A A B 4 CCD Charge Coupled Device 2 Thomson 4 Arkon-2 Enhanced Thematic Mapper Plus 2 6 IRS-P6 LISS3 CCD ETM * * ISO SB2007FY GIS. liur@ lreis. ac. cn

2 CCD 80% 2 100% LandSat TM Thematic Mapper 2. 2 CCD 1 TM CCD 4 CCD ~ 800 m 5 CCD 452 ~ 518 nm 528 ~ 609 nm 626 ~ 693 nm 776 ~ 904 nm CCD 1a TM 1b TM 1 ~ m CCD kmtm 180 km 2 CCD 2 TM LPGS 1 ~ km 1 1 Fig. 1 1 Study area and its vegetation cover a. b a. Study area b. Vegetation cover of study area Land cover dataset Table l 1 Basic parameters of experimental images HJ1A-CCD2 HJ1A-CCD1 HJ1B-CCD2 HJ1B-CCD1 TM ID L L L L LT UTC

3 9 CCD CCD CCD m n 8 df /dx i = 1 α = 1 p = 2 m n m n df CCD dx USGS 3 GLS 2005 Global Land Survey H = - 7 TM n P i log 2 P i i = CCD P i i TM i j H i H j 2 ρ 2 H = H i + H j 1 - ρ 11 m = i p i d = i "m 2 p i 16 s = i "m 3 p i /d 3 k = i "m 4 p i /d 4 i p i i ^F ^F u v 2 = ^F u v F * u v u v ^F u v 2 F * 12 CCD Sum = m-1 n-1 ^F u v 2 ΔuΔv 4 u = 0 v = 0 1 m n u = 0 1 m - 1 v SNR = m /d 1 = 0 1 n - 1 m d u v CCD 22

4 ~ 4 2 CCD TM CCD DN 2 10 m TM CCD CCD TM HJ1A-CCD TM CCD TM 22 min 3 CCD GLS CCD TM % TM CCD HJ1A - CCD % 0. TM GLS % TM % CCD TM 0. 05% 4 CCD 4 HJ1A - CCD1 TM m ~ % % ~ 113. TM 60 m2 34% % ~ % TM % ~ % CCD CCD 3. 2 CCD CCD TM HJ1A - CCD % % % % e-science % % % 4 CCD 6 2 /m1 Table 2 Analysis of inter - band displacement /m ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY RMS RMS CCD www. cresda. com TM NASA

5 9 CCD 975 Table 3 3 /m Comparison of side length error between image control points / m % N /A N /A N /A N /A % % % N /A N /A N /A N /A % % % % % % % % N /A N /A N /A N /A % % % % % % % % N /A N /A N /A N /A % % % % % % % % N /A N /A N /A N /A % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % RMS Table 4 4 /m The overall image displacement / m ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY ΔX ΔY RMS RMS

6 Table 5 Analysis of radiation accuracy 6 Table 6 Analysis of SNR DN CCD TM Table 7 7 Analysis of SNR for different land cover types CCD TM % % % % CCD TM TM 4 TM % % % % 4 Fig. 4 Distribution map of image radiance % HJ1A - CCD1 TM "1. 74% " % TM 4 CCD

7 9 CCD Table 8 Sharpness results of experimental images Fig Comparison of image Sharpness Standard false color composite of band Δ = 1 2 m CCD TM 4 TM % % % % CCD TM 4 TM % % % % 4 TM 4. 3 db TM % % % % CCD TM CCD 4 TM % % % % CCD TM Table 9 9 Amount of information results Fig. 6 Comparison of power spectral analysis 10 /db Table 10 Summation of each component of image power spectral /db

8 CCD 0. 05% CCD DN TM DN 4 Thomson G. Evaluation of Russian Arkon-2 Earth observation sat- TM ellite J. The Imaging Science Journal CCD CCD TM CCD DN 6 Zhang Zengxiang Wang Xiao Wang Changyao et al. National land cover mapping by remote sensing under the control of interpre- CCD ted data J Gutman G Byrnes R Masek J et al. Towards monitoring landcover and land-use changes at a global scale The global land sur- 3 CCD CCD TM vey 2005 J / somg CCD 4 TM CCD 4 TM 5 CCD 4 2 by our landsat ground station and U. S. NOAA J References 1 Zhao Shuhe Feng Xuezhi Zhao Rui. Evaluation on data quality and geometric correction of China-Brazil resources satellite No. 1 data in Nanjing area J. Remote Sensing Technology and Application Wang Qinjun Tian Qingjiu. Quality evaluation of LISS3 image from IRS-P6 satellite J. Geography and Geo-Information Science IRS-P6 LISS3 J Yang Zhongdong Gu Songyan Qiu Hong et al. CBERS-1's CCD image quality evaluating and cross calibrating study J. Journal of Remote Sensing CCD J Jia Fujuan Wu Yanlin Huang Ying et al. Design and on-orbit application of CCD camera on HJ-1A /1B Saterllites J. Spacecraft Engneering A 1B CCD J.. Journal of Geo-Information Science J Photog Rammetric Engineering and Remote Sem- 8 Franks S Masek J Headley R et al. Large Area Scene Selection Interface LASSI methodology of selecting landsat imagery for the global land survey 2005 J. Photogrammetric Engineering and Remote Sensing Wang Xinmin Zhang Lei. Analysis of geometric fidelity of systematically corrected Landsat-5 TM image data J. Remote Sensing of Environment China TM J Wang Xinmin Shao Beien Dai Zixin et al. An accuracy comparison between the geodetically corrected TM images produced. Remote Sensing of Environment China NOAA TM J Zhang Xia Zhang Bing Zhao Yongchao et al. Image quality assessment for the infrared Multi-Spectral scanner of the Chinese- Brazil Earth resources satellite J. Journal of Image and Graphics A J A Liu Jiangui Zheng Lanfen Tong Qingxi. Estimation of signal to J. noise ratio of remote sensing images J. Journal of Basic Science

9 9 CCD 979 and Engineering J J Balboa R Grzywacz N. Power spectra and distribution of contrasts 13 Wang Hongnan Zhong Wen Wang Jing et al. Research of measurement for digital image definition J. Journal of Image and Graphics Chander G Markham B L Helder D L. Summary of current ra-. J. diometric calibration coefficients for Landsat MSS TM ETM Cheng Jicheng Guo Huadong Shi Wenzhong. Uncertainty of Remote Sensing Data M. Beijing Science Press M Lin Zongjian Zhang Yonghong. Measurement of information and uncertainty of remote sensing and GIS data J. Geomatics and Information Science of Wuhan University of natural images from different habitats J. Vision Research and EO-1 ALI sensors J. Remote Sensing of Environment Zhu Yunqiang Sun Jiulin Song Jia et al. E-Geoscience research and practice A case show of north eastern Asia joint scientific exploration and cooperative research platform J. Advances in Earth Science e-science J. Data Quality Evaluation of Chinese HJ CCD Sensor Liu Rui 1 2 Sun Jiulin 2 Wang Juanle 2 Liao Xiuying 2 1. College of Geographical Science Chongqing Normal University Chongqing China 2. State Key Laboratory of Resources and Environmental Information Systems Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China Abstract The Chinese environmental mitigation HJ satellite CCD sensors are capable of large area and alltime monitoring and have a great advantage in coverage and frequency of repeated observations. However as a relative newly remote sensing sensor it is essential to evaluate the data quality for further applications. Based on the introduction of HJ CCD sensor and combined with LandSat TM data the geometry accuracy and radiance quality of HJ CCD data was quantitative evaluated in this paper. The results showed that 1There is no deviation between the 4 bands of HJ CCD and compared with TM very small geometric distortion is detected 0. 05%. However there's large geometric error in both X and Y direction. 2There is no obvious difference in radiation range and signal to noise ratio between the two sensors but the image sharpness of CCD data can only a- chieve about half of TM which leads to application limitation for object recognition and feature extraction etc. 3 The CCD data is rich in amount of information and standard false colour composition of band is the best band combination choice. Meanwhile the power spectral of CCD data guaranteed the abundant texture feature which will ensure the application accuracy in studies such as classification. 4Near infrared and red band showed the best quality between the CCD bands and followed by green and blue band. Key words Geometric accuracy Radiance quality Image sharpness Information entropy Power Spectral.