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In this letter, we propose a “conditional texton forest” (CTF) method to utilize widely available historical land cover (HLC) maps in land use/cover classification on high-resolution images. The CTF is based on texton forest (TF), which is a popular and powerful method in image semantic segmentation due to its effective use of spatial contextual information, its high accuracy, and its fast speed in...
Moving cast shadow removal is an important yet difficult problem in video analysis and applications. This paper presents a novel algorithm for detection of moving cast shadows, that based on a local texture descriptor called Scale Invariant Local Ternary Pattern (SILTP). An assumption is made that the texture properties of cast shadows bears similar patterns to those of the background beneath them...
In this paper, we present a Gibbs Random Field (GRF) modeling based Nonnegative Matrix Factorization (NMF) algorithm, called GRF-NMF. We propose to treat the component matrix of NMF as a Gibbs random field. Since each component presents a localized object part, as usually expected, we propose an energy function with the prior knowledge of smoothness and locality. This way of directly modeling on the...
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