This paper presents an effective and accurate approach to extract coastlines from InSAR coherence map. The key
technique is to automated extract the island coastline quickly in investigating the changes of the island coastlines using
remote sensing technique. According to the tremendous difference of backscatter in InSAR coherence map between in
sea region and in land region, an automated extracting method based on InSAR coherence map is proposed in this paper.
Firstly, it generates the interferogram and coherence map based on InSAR technique and SAR complex data. Then it gets
the information of coastlines through threshold segmentation and edge detection for the coherence map. At last, we
choose the ERS-1/2 SAR data to carry out the coastline extraction test. The test proves that it is an effective and accurate
approach to extract coastlines from InSAR coherence map.
In this paper, we used PALSAR data to measure the land subsidence in Yanzhou coal mining area based on InSAR
technique. Firstly it simply analyzed InSAR technique and introduced some orbital radar satellites for InSAR measuring.
It introduced the PALSAR data for test and the selection of InSAR pairs. Then it illustrated the procedure of 2-pass DInSAR
data processing taking true data for example. It can be divided into inteferometric processing, simulating the
interferogram according to DEM, differential processing and filtering, phase unwrapping, conversion of deformation.
Then it got the deformation map of coal mining subsidence. It interpreted and analyzed the D-InSAR results in details. It
generated the isoline maps of land subsidence in coal mining area. We found that the maximum land subsidences in
vertical direction in two areas are up to 51.8 and 71.4 cm in 46 days. The test proves that PALSAR and SRTM DEM
data are suitable for monitoring the land subsidence in areas with vegetated land cover, such as coal mining area.
This paper introduces the application of a new technique named Interferometric Point Target Analysis (IPTA) to monitor
the land subsidence of urban areas in Suzhou city. It focuses on some points with high coherence to process. It uses a
large number of SAR data set to analysis the spatial and temporal characteristics of some interferometric point targets.
Firstly, it introduces the phase model of IPTA. Then it emphasizes on three aspects: the problem of selecting the master
image; the problem of choosing the interferometric point target candidates; the data processing methods of IPTA
technique. Then it can accurately get the history of land subsidence and atmospheric delay phase information.
Striping noise and image degradation are the main factors that reduce the quality of Beijing-1 small satellite raw data
images, thus noise removal and image restoration are the two important tasks in processing and application of the
images. This paper presents efficient noise removal and image restoration methods on analysis of the imaging system
characteristics and the image quality reduction principles. The proposed methods evidently improve quality of the
images, and are employed in practical processing procedures of Beijing-1 small satellite images.