Full text: Mapping without the sun

CaoYinxuan 3 ’* 5 , Zhang Yonghong b , YanQin b , ZhaoZheng b 
a Key Laboratory of Land Use, Ministry of Land and Resource 
b Chinese Academy of Surveying and Mapping 
caoyx@casm. ac. cn 
KEY WORDS: SAR, filtering, change information, dynamic monitoring, PCA, fusion 
This paper adopts high resolution SAR images and optical multispectral images of two dates to detect land use changes. Firstly, 
different speckle filtering methods are applied on SAR images, and different speckle noise suppression effects are analyzed and 
compared. It is indicated that the GAMMA speckle filtering method can get the best result. Secondly, in order to automatically 
detect new-added construction land change information, some methods such as data fusion technology and false color composite 
based on Principal Component Analysis (PCA) are put forward. Finally, change information is extracted. 
It’s the key technology of land resource and ecology 
environment dynamic monitoring to acquire land use and land 
cover change space time distribution information speedily and 
correctly through advanced remote sensing image processing 
technology based on different times images[l]. Recently, the 
key objective of land use dynamic monitoring project is to 
monitor the new-added construction land. Its aim is to acquire 
the concrete position, boundary and attribution of new-added 
construction land within monitoring area timely and efficiently, 
and then provide beneficial technical support and guarantee. 
Synthetic Aperture Radar (SAR) is independent of solar with 
the characteristic of all weather, all time and penetrating cloud 
and fog. Due to the geometry shape of building on SAR images, 
its signal is more outstanding like the effects of comer 
reflector 121 . Then it benefits the recognition of construction land. 
And it makes SAR images be the more valuable data source of 
dynamic monitoring during the special time 131 . 
The application experiment on dynamic monitoring through 
SAR images is already carried out in several years, but the data 
source is mainly based on spacebome SAR data. And it is rarely 
reported on high resolution airborne SAR data. This paper 
introduces the experiment data sources based on airborne SAR 
data in 2002 and 2004 and SPOT5 multispectral image in 2002. 
And then new added construction land change information is 
extracted through the combination between automatically and 
artificial interpretation. The resolution of SAR data is about 2m, 
and the band is Ku, and the resolution of multispectral image is 
2.1 Data correction 
The test area locates in the conjunction between city and village. 
It is even, and the topography fluctuation is small. So the 
polynomial correction methods are put forward on SAR data. 
The topography map is the reference base map as selecting 
control points, and the mean square error is no more than 1 
pixel. The result meets the correction accuracy requirement. 
Then regarding the corrected SAR image as the reference data, 
other image matches it correctly. Image registration is the base 
of change information extraction. And if the error is too large, it 
will bring more false change information, and reduce the 
accuracy ratio of change monitoring. 
2.2 Speckle filtering 
Objects accept the coherence electronic waves emitted by radar, 
and it includes many pulse scatter points, then electromagnetic 
waves reflected are the coherence overlay of each scatter waves, 
so it produces many speckle noises in the SAR images. The 
existence of speckle noises reduces SAR image correction and 
interpretation precision 141 . Therefore, in the practical application, 
speckle filtering is the fundamental work of edge detection, 
object classification, and target detection and recognition etc. 151 . 
Recently, the research on speckle filtering is the hot topic of 
microwave remote sensing. The aim of speckle filtering is to 
reduce speckle noises and keep the texture detail information. 
At the stage of speckle noises, there are different methods 
according to different application purpose. The common 
speckle filtering mainly includes: Gamma-MAP, Lee filtering, 
SIGMA filtering, mean filtering, Frost filtering. 
In the test, different filtering methods are carried out. Through 
the contrast and analysis of filtering results on the speckle 
reduction and detail preserve, the Gamma-MAP is finally 
selected. Gamma-MAP filtering is built on noise model. The 
following figure 1 is the contrast images between the original 
image and filtering image, a is the original image, and b is the 
filtering image through 3x3 window Gamma-MAP. 
In the SAR images, construction land reflection energy is high, 
so it’s brighter than surrounding other objects. Otherwise, due 
to residential building’s orderly generally arrangement, it

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