Abstract:

This paper describes the way to extract information of gold anomaly in vegetation coverage area through a case study from the southwest area in Guizhou. Principal component analysis，false color composite，stretch histogram and supervise classification, etc. are analyzed on the remote sensing images using ENVI 4.8 software. It is suggested that the linear structure，which is delineated by convolution filter and morphological analysis method，is characterized by statistical self-similarity and fractal geometry. It is found that the high value of fractal dimension is roughly coincident with the gold anomaly of vegetation by the comparison between contour maps of plant geochemical anomaly and fractal dimensions，which is calculated by box-counting. As a matter of fact，80 percent of gold deposits or occurrences are located in areas of high value of fractal dimension and vegetation anomaly. By the comprehensive analysis of stratigraphy，igneous rocks，gold mineralization，fractal dimension of linear structures，anomaly features of gold geochemical and vegetation anomaly from remote sensing，seven exploration targets with three levels of probabilities are figured out.

Key words: southwest area in Guizhou, ETM+ remote sensing, linear structure interpretation, vegetation geochemical anomaly, extraction of information, prospecting prognosis