The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
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Figure 15: Cloud image (left) and result image (right) of 
Landsat-ETM image date 2002/01/05 
Result is two free cloud images. These are really perfect results. 
Every object in the interpolated images looks very natural and 
logical. If the change of objects covered by cloud is not so 
much, this method is perfect way for removing cloud to make a 
multi-temporal dataset for one type of data or for the types of 
data that have similar wavelength. 
CONCLUSION 
Combination of TRRI index and CSI index to define cloud has 
good result. This method can be applied to every multi-spectral 
optical image to extract cloud. 
Shadow interpolated from cloud will be larger than real shadow. 
This problem will be studied more. 
Result image after removing cloud based on radar image is nine, 
no cloud and shadow. Distribution of objects under cloud after 
interpolating almost is good. However, some special objects are 
not so good after interpolation like some types of vegetable. 
Combination of two optical images to remove cloud is good 
way to make free cloud multi-temporal dataset. Condition to 
apply this method is the change of objects that covered by cloud 
is not so much. 
In the next step, this method will be inspected to estimate 
accuracy in real ALOS data. 
ACKNOWLEDGMENTS 
JERS1-SAR images are licensed copyright by JAXA, Japan. 
ALOS data for this study is provided by JAXA in the 
framework of ALOS program of JAXA as Principal 
Investigator (PI) studies. We warmly give thanks to JAXA 
provided JERS1-SAR images and ALOS images for this study. 
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