AUTOMATED GEOLOGIC LINEAMENT DETECTION FROM SATELLITE REMOTE SENSING IMAGERY
遥感卫星图像中线性地质特征的自动提取

The primary objective of this paper is to probe an effective way of acquiring thetree-ring view singular value with a plate scanner and of applying the image analysisand digital process to dendrochronological research. Through the stahstical analysis oftree-ring image distribution charateristics and noise variation, a new algorithm ofimage segmentation and feature extraction is designed, and then a correspondingsoftware package of personal computer tree-ring image process system is developedaccording to the dendrochronological research character. As a result of the realprocess and the analysis combined with other methods of dendrochronological research,it is demonstrated that the approach of scanning image process is not only feasiblebut also more effective and accurate. Therefore, it will be possible to make thedendrochronological research and applicahon in environmenta change more widespreadand profound. The contents and achievements of the research are mainly reflected inthe following six aspects:(1) Establishing an effechve method by using the personal computer devices(including tLhe plate scanner) to acquire the tree-ring view singular value, whichimproves the measuring tree-ring way. Compared with other specialized devices, thismethod reduces the processing cost and makes the processing more efflciency andmore accuracy.(2) Making a systematic study and analysis in the tree-ring and its errordistribution with the image theory and the mathematics method, and proving theresearch way to be feasible through the theory and the practice.(3) Making full use of the two-dimension information of digital image to studythe variation in the tree-ring growth area and then to raise the reliability of statisticalanalysis.(4) Thviding a ring into earlywood and latewood areas by the image segmentprocess so that the time-scale analysis precision will be improved anddendrochronological research will be more profound.(5) Designing a quantitative index of the difference between earlywood mean grayvalue and latewood mean gray value as the indicator of tree-ring growth. The indexcan effectively restrain the influence of image noise on the statistic analysis oftree-ring gray value, and have a good response to climate changes, which can be used as a subshtute for maximum density of tree-ring in dendrochronological research.(6) Developing a software package to be applied to dendrochronological analysisand research based on the personal computer using Microsoft Visual C+ + language.