In the methods for high- resolution remote sense image segmentation,the fractal net evolution approach( FNEA) is relatively mature among the object- oriented image segmentation algorithms. In calculating the heterogeneity of each pair of neighboring objects,the spatial criterion and weight of compactness are user- defined according to experience. In this paper,an improved method of adaptive FNEA algorithm was proposed by adaptively calculating the weights of spatial criterion and compactness according to the different properties of various kinds of objects. Moreover,the contributions of different spectroscopic components were introduced into calculating of the heterogeneity. Computer simulation demonstrates that the proposed algorithm has better adaptability to the image objects with different attributes. A comparison with some similar algorithms shows that the method proposed in this paper performs better for image segmentation.