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Remote sensing images often suffer from shadow duo to partially or totally occludes direct light from an illumination source. In this paper, we propose a novel shadow removal algorithm. The trimap could be generated automatically by morphological subtraction method according to the result of shadow detection. Then, the weighted color and texture sample selection image matting method is applied in...
Fractional vegetation cover (FVC) is one of the fundamental parameters for characterizing terrestrial ecosystems, with wide uses in various environmental and climate-related modeling applications. The remote sensing technique provides a unique opportunity for estimating FVC over large geographical areas by employing spectral mixture analysis (SMA). The effectiveness of SMA depends largely on the accurate...
With the availability and development of multisensor, multitemporal, multiresolution, and multifrequency image data from operational Earth observation satellites, more limitations have also appeared in remote sensing image applications, and the most important one is the cost limit. To overcome the limitations, unmanned aerial vehicle (UAV) technology is developped for remote sensing application. It...
Automatic ship detection from remote sensing imagery has many applications, such as maritime security, traffic surveillance, fisheries management. However, it is still a difficult task for noise and distractors. This paper is concerned with perceptual organization, which detect salient convex structures of ships from noisy images. Because the line segments of contour of ships compose a convex set,...
This paper proposes a novel semi-supervised regression model with co-training algorithm based on support vector machines, which retrieves water quality variables from SPOT5 remote sensing data. Nonlinear relationship between water quality variables and SPOT5 spectrum are described by two support vector regression (SVR) models. Semi-supervised co-training algorithm for the two SVR models is established...
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