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GISdevelopment > Proceedings > ACRS > 1999


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Agriculture/Soil

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Topics Including Education

Hyper Spectral Image Processing

Image Processing

Geology

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Global Change

Airborne Remote Sensing

Poster Sessions
  • Session 1
  • Session 2
  • Session 3
  • Session 4
  • Session 5
  • Session 6



  • ACRS 1999


    Poster Session 5
    Change Detection Based on Remote Sensing Information Model and its Application on Coastal Line of Yellow River Delat

    Water and land
    With the increase of bands, the spectral reflectance value of water body decrease, i.e. bij1>bij2>bij3>bij4>bij 5>bij7.Meanwhile, band 5,7 can be used to select threshold to segment water. But due to the special effection of bedload in YRD, CH3, CH4 >CH2. So, we first using water spectral feature model to extract water, then within the region of water body, classification is conducted to obtain different depth classification map (shown as figure 3). It simply and distinctly reflects the water region distribution of YRD.


    Figure 3 Water classification map

    Vegetation and non-vegetation
    Vegetation has high reflectance value in band 4.and in band 3 there is low reflectance. For this character, bijv=bij4/bij3 is often taken as the index to identify vegetation region and non-vegetation region. Certainly, there is much other vegetation indexes. When it is used in image segmentation, we define the following rules:
    bijv>a1; vegetation region
    Pixel(i,j) bijv <=a2; non-vegetation region
    Between them.confused region


    Figure 4 Based on spectral model segmentation of vegetation and non-vegetation

    Sandy land and general land
    For non-vegetation region, we can farther separate it into bare soil, build-up soil, residence etc. But for coastal region, sandy soil is leading object. Because spectral value of sand is lower than other kinds of non-vegetation, especially band 7 (including water). According to the rule, we can extract sandy soil in the non-vegetation region (shown as figure 5).


    Figure 5 Based on spectral model 
    segmentation of sandy soil

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