The author found the text and poem writing had not always been correspondent to his personal experience through observation and reading. The poets really meant that their own poems could not express his suffering when...The author found the text and poem writing had not always been correspondent to his personal experience through observation and reading. The poets really meant that their own poems could not express his suffering when he said he had been afraid that he could not match his suffering. People often think the rich experieuce is the key to the depth of writing, but the truth is not like that. The author concluded that the content of poem shall keep certain gap with the ethic meaning through research on the experience and writing of the great poets and give an ontological questioning and then he can embody common humanity and emotion without blank teaching. A poet shall be in face of the difficulty of writing and learn to handle with the challenge of difficulty, and then the difficulty can be transferred into skill of writing,展开更多
A novel method for multi-image matching by synthesizing image and object-space information is proposed. Firstly, four levels of image pyramids are generated according to the rule that the next pyramid level is generat...A novel method for multi-image matching by synthesizing image and object-space information is proposed. Firstly, four levels of image pyramids are generated according to the rule that the next pyramid level is generated from the previous level using the average gray values of the 3 by 3 pixels, and the first level of pyramid image is generated from the original image. The initial horizontal parallaxes between the reference image and each searching image are calculated at the highest level of the image pyramid. Secondly, corresponding image points are searched in each stereo image pair from the third level of image pyramid, and the matching results in all stereo pairs are integrated in the object space, by which the mismatched image points can be eliminated and more accurate spatial information can be obtained for the subsequent pyramid image matching. The matching method based on correlation coefficient with geometric constraints and global relaxation matching is introduced in the process of image matching. Finally, the feasibility of the method proposed in this paper is verified by the experiments using a set of digital frame aerial images with big overlap. Compared with the traditional image matching method with two images, the accuracy of the digital surface model (DSM) generated using the proposed method shows that the multiimage matching method can eliminate the mismatched points effectively and can improve the matching success rate significantly.展开更多
文摘The author found the text and poem writing had not always been correspondent to his personal experience through observation and reading. The poets really meant that their own poems could not express his suffering when he said he had been afraid that he could not match his suffering. People often think the rich experieuce is the key to the depth of writing, but the truth is not like that. The author concluded that the content of poem shall keep certain gap with the ethic meaning through research on the experience and writing of the great poets and give an ontological questioning and then he can embody common humanity and emotion without blank teaching. A poet shall be in face of the difficulty of writing and learn to handle with the challenge of difficulty, and then the difficulty can be transferred into skill of writing,
基金Supported by the National Natural Science Foundation of China (Nos. 40771176, 40721001)
文摘A novel method for multi-image matching by synthesizing image and object-space information is proposed. Firstly, four levels of image pyramids are generated according to the rule that the next pyramid level is generated from the previous level using the average gray values of the 3 by 3 pixels, and the first level of pyramid image is generated from the original image. The initial horizontal parallaxes between the reference image and each searching image are calculated at the highest level of the image pyramid. Secondly, corresponding image points are searched in each stereo image pair from the third level of image pyramid, and the matching results in all stereo pairs are integrated in the object space, by which the mismatched image points can be eliminated and more accurate spatial information can be obtained for the subsequent pyramid image matching. The matching method based on correlation coefficient with geometric constraints and global relaxation matching is introduced in the process of image matching. Finally, the feasibility of the method proposed in this paper is verified by the experiments using a set of digital frame aerial images with big overlap. Compared with the traditional image matching method with two images, the accuracy of the digital surface model (DSM) generated using the proposed method shows that the multiimage matching method can eliminate the mismatched points effectively and can improve the matching success rate significantly.
