Interferometric Synthetic Aperture Radar (InSAR) is an emerging technology with increasing applications in for high
precision interferometry and 3-D digital elevation model (DEM) ground mapping. This paper presents a user-friendly
MATLAB Toolbox for enhanced InSAR applications based on European Space Agency (ESA) SAR missions. The
developed MATLAB tools can provide high quality and flexible data processing, visualization and analyzing functions
by tapping on MATLAB's rich and powerful mathematics and graphics tools. Case studies are presented to with
enhanced InSAR and DEM processing, visualization, and analysis examples.
KEYWORDS: Image segmentation, Image processing, LIDAR, Binary data, Data modeling, Image filtering, Associative arrays, Digital filtering, Digital image processing, Global Positioning System
The paper presents a study of topographic mapping and sense making with LIDAR data and ground color map. The
objective is for possible alternative navigation in case the GPS service is not available. To achieve the objective, a few
LIDAR data filtering and image processing techniques are applied. From LIDAR data, an accurate digital elevation
model is first generated, then a progressive morphological filtering to remove such interference objects as trees for more
reliable matching afterwards. For topographic mapping, the processed LIDAR image and a ground map image are
segmented based on the Mean-Shift principle, segmenting the image into different color blocks, then extracting the
building color blocks and converting into binary image. Lastly based on the least sum of absolute value, we are able to
matching a LIDAR image with a real map image. By performing the effective image filtering and matching process, we
have successfully achieved accurate topographic matching based on real LIDAR measurement taken in Singapore. This
automatic processing is able to indicate exactly where the LIDAR image was taken.
LIDAR (LIght Detection and Ranging) [1] is an optical remote sensing technology that has gained increasing acceptance
for topographic mapping. LIDAR technology has higher accuracy than RADAR and has wide applications. The relevant
commercial market for LIDAR has developed greatly in the last few years. LAS format is approved to be the standard data
format for interchanging LIDAR data among different software developers, manufacturers and end users. LAS data format
reduces the data size compared to ASCII data format. However, LAS data file can only be visualized by some expensive
commercial software. There are some free tools available, but they are not user-friendly and have less or poor visualization
functionality. This makes it difficult for researchers to investigate and use LIDAR data. Therefore, there is a need to
develop an efficient and low cost LIDAR data toolbox. For this purpose we have developed a free and efficient Matlab
tool for LIDAR data conversion, visualization and processing.
Recent development of finline 35 GHz MEM modules like Gunn oscillator, PIN switch, and filters at Nanyang Technological University will be discussed. The design tools and measurement equipments like Advanced Design System (ADS), High Frequency Structure Simulator (HFSS) and Vector Network Analyzer (VNA) are used extensively throughout the work.
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