Vol. 7 No. 1 (2018)

  • Open Access

    Article

    Article ID: 357

    The application of of photogrammetry and remote Sensing in Engineering surveying

    by Xue-mei Bai

    Remote Sensing, Vol.7, No.1, 2018; 258 Views, 15 PDF Downloads

    DOI: https://doi.org/10.18282/rs.v7i1.357

    : The with the development of the the global economy faster and faster, also affects the industrial science and technology To reform the innovation, and by speeding up its development speed, now modern engineering measurement Stics of wide application and fast development, the engineering measurement a more and more occupies important in The construction, strict standards for the construction of Engineering survey, can improve the quality of engineering. has made innovations in engineering measurement, added photogrammetry and remote sensing technology to improve the A Ccuracy of measurement and has been widely used. This paper firstly describes the content of photogrammetry and remote sensing, and analyzes its application in engineering Survey.

  • Open Access

    Article

    Article ID: 338

    Problems and Countermeasures in the geological exploration of deep mineral

    by Shi-dong Wang

    Remote Sensing, Vol.7, No.1, 2018; 172 Views, 11 PDF Downloads

    DOI: https://doi.org/10.18282/rs.v7i1.338

    In view of the needs of the geological exploration of the deep mineral resources, the necessity, problems and Co Untermeasures of the geological exploration of the deep mineral resources are explored.

  • Open Access

    Article

    Article ID: 372

    Urban Road Extraction High resolution remotely sensed imagery With Gabor texture and geometrical Features

    by Hualong HU

    Remote Sensing, Vol.7, No.1, 2018; 198 Views, 9 PDF Downloads

    DOI: https://doi.org/10.18282/rs.v7i1.372

    Through the feature analysis of the frequency curve , The paper proposed a new method which integrated Gabor texture and geometrical features in the urban road Ction from high resolution remotely sensed imagery. in the experiment, the texture features in different frequencies and Different directions were obtained by a given bank of Gabor filters,andthen K-means clus Tering method is applied for imagery segmentation. The morphological methods were utilized to separate the road objects from Non-^oadobjects,<b 21>and the geometrical features were applied to take out the non-road. Then the extracted roads were regulated by mathematical morphology. The result showed this proposed method could effectively extract the urban road information from high resolution Remo Tely sensed imagery