In this paper, we propose a method to automatically reconstruct building outline using 2D building data and stereo images. We focus on the outline of building without inclusion of the inner structure of the roof surface. Five procedures are integrated: 1) the production of the magnitude image of edge pixels, 2) locating the working space on image by 2D building data, 3) detection of line segments using grayscale Hough Transform, 4) obtaining the candidates of 3D line segment by epipolar geometric constraint, and 5) generation of the building outline from candidates. For accuracy assessment, we compared the reconstructed building out line with the manual measurement at corners of 14 buildings. The RMSEs of planmetric position and elevation is 0.61m and 0.87m, respectively. The experimental results show that this method may be applicable to those buildings with plane roof or gable roof.

Eight ERS1/2-SAR images recorded in the last ten years are used for determining the land-surface deformation in the Jungli Industry Park area by differential interferometric method. The interferometric results reveal a circular-shape subsidence of which the center is situated within the Jungli Industry Park center. Moreover, the subsidence event of this area occurred from 1996, and tended to cease after 2000. The rapid change of subsidence rate and the circular-shape of subsidence distribution illustrate that the artificial influences, for example, groundwater pumping may be important factors for the land subsidence of the Jungli area. Numerical simulation of land subsidence in terms of discharge/recharge of groundwater can substantiate in advance the relationship between the land deformation and the groundwater influence for the Jungli area in the future.

A simple atmospheric correction model (SACM) for SPOT satellite images is presented. Gaseous transmission and Rayleigh optical depth are simplified as analytic functions. Rayleigh and aerosol scattering are determined using lookup tables. Results indicate that dependence of atmospheric functions on azimuthal angle should be considered, although ATCOR2 and ATCOR3 developed by Richter (1997) simplify the dependence. SACM not only quite accurately simulate top-of-atmosphere reflectance, but also does so faster than 6S developed by Vermote et al.(1997). The results of the inverse application of SACM also indicate that the relative error of surface reflectance can be greatly reduced even in hazy sky if the adjacency effect is corrected. Future possible improvements are also highlighted.

In this paper, we provide a review of polarimetric synthetic aperture radar applications and analytical algorithms that are necessary tools for these applications. We first introduce coherent polarimetric optimization algorithms, then some for the partially coherent case, compare three frequently applied target matrix decomposition algorithms, and show their major differences. Topics of polarization orientation angle estimation and speckle filtering are also discussed and illustrated with examples. The important applications of terrain and land-use classification are described from the concept of the maximum likelihood classifier based on the Wishart distribution. In addition, recently developed techniques focused on soil moisture, surface roughness, polarimetric SAR interferometry and SAR tomography are outlined. Most of the topics discussed are interrelated, and these comparative assessments are discussed throughout this paper

Some visualization techniques are used to analyzing and exploring the data set of hyperspectral images. The major objectives of data analysis are to summarize and interpret a data set, describing the contents and exposing important features. For dimensionality reduction of hyperspectral images, visualization can play an important role in illustrating the characteristics of high-dimensional data set. Data projection is one of the common visual ways to get the interesting subsets of the original data, and certain properties of the structures can be preserved as faithfully as possible. An effective visualization tool called statistics images displays the second-order statistics of hyperspectral images as a pseudo colored maps. In addition, the multi-scale approaches such as scale space and wavelet analysis are used to visualize the hyperspectral curve in a time-scale plane. These techniques of visualizations will help us to explore the whole data set and extract useful features for further applications such as data representation classification and compression in the future.

VCDi is an air-borne multi-spectral remote-sensing imager. Design, development, and test of this system are performed in precision instrument development center (PIDC). Air-borne functional test for this system was carried out on one of the four multi-spectral bands in April 2002. Test flow and test setup are built for this system in PIDC. Two of the main items in system-level tests, radiometric calibration and geometric parameters measurement were introduced in this article. The image accuracy is evaluated by comparing air-born orthographic image with ground control points. Pairs of image and ground coordinate at five boundary points and one central point are used as controls to estimate transformation coefficients, the estimated residual is 0.51 pixel (around 25.7 cm on ground). At 8 check points, RMS is 0.74 pixel (37.5cm) on X-axis and 0.45 pixel on Y-axis (22.6cm).