Fast algorithm of earth-edge detection for space remote sensing images under strong noises

Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves

Volumn 22, Issue 5, 2003, Pages 368-372

  Guo, Qiang ^a   Chen, Gui Lin ^a  

^a SHANGHAI INSTITUTE OF TECHNICAL PHYSICS   (China)

Author keywords

Histogram; LMS; Markov prediction model; Real time processing; Strong noise

Indexed keywords

ALGORITHMS; EDGE DETECTION; FORECASTING; IMAGE PROCESSING; MARKOV PROCESSES; REAL TIME SYSTEMS; REMOTE SENSING;

HISTOGRAM; MARKOV PREDICTION MODEL; REAL TIME PROCESSING; STRONG NOISE;

METEOROLOGY;

EID: 1442327661     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. ZHANG Xian-Da. Modern Signal Process. Beijing: Tsinghua University Press, 1995: 5
2. ZHANG Yu-Jin. Image Process and Analysis. Beijing: Tsinghua University Press, 1999: 3
3. Descombes X, Sigelle M. Estimating Gaussian Markov random field parameters in a nonstationary framework: application to remote sensing imaging. IEEE Trans. Image Processing, 1999, 8(4): 490-503
4. Lin J H, Ansari N, Li J. Nonlinear filtering by threshold decomposition. IEEE Trans. Image Processing, 1999, 8(7): 925-933
5. Sigelle M, Ronfard R. Relaxation of previously classified images by a Markov field technique and its relationship with statistical physics. In: Proc. 7th SCIA'91, Denmark: Aalborg, 1991: 387-394
6. GUO Qiang. Study on the real-time evaluation for the qualities of images of the synchronous meteorologic satellites. Shanghai: Shanghai Institute of Technological Physics, C. A.S. Ph. D. Dissertation, 2003