Detecting urban vegetation from IKONOS data using an object-oriented approach

@article{Zhang2005DetectingUV,
  title={Detecting urban vegetation from IKONOS data using an object-oriented approach},
  author={Xiuying Zhang and Xuezhi Feng},
  journal={Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.},
  year={2005},
  volume={2},
  pages={1475-1478}
}
Urban vegetation plays a very important role in urban planning, environmental protecting, and sustainable development policy making. High resolution remote sensing imageries like IKONOS can provide such information economically and timely. However, the traditional classifying method based on pixel results in poor accuracy for the increased resolution causes not only in inter-class spectral variability but also intra-class spectral variability. Thus, developing a new method to extract thematic… CONTINUE READING