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Radiometric correction is very important for temporal remote sensing images analysis. The key of relative radiometric correction is to accurately select pseudo-invariant features (PIFs). This process should be automatic. Slow feature analysis is a new learning algorithm to extract invariant feature from input signals. It is appreciate to separate the unchanged pixels. We apply iteration process to...
This paper proposes a new semisupervised dimension reduction (DR) algorithm based on a discriminative locally enhanced alignment technique. The proposed DR method has two aims: to maximize the distance between different classes according to the separability of pairwise samples and, at the same time, to preserve the intrinsic geometric structure of the data by the use of both labeled and unlabeled...
In this paper, we propose a new approach for multispectral image object identification using a proximal support tensor machine. The image object is represented as a 3-order tensor that encodes both the spectral and neighborhood spatial information, and then applies the proximal support tensor machine (PSTM) for object identification. Experiments demonstrate that by comparison with the support tensor...
T Manifold learning methods have widely used in ordinary image processing domain. It has many advantages, depending on the different formulation of the manifold. Hyperspectral images are kind of images acquired by air-borne or space-born platforms. This paper introduces a novel manifold learning method into hyperspectral classification. The purpose is to fully utilize the spectral and spatial information...
The economic cost-benefit analysis method is used to the evaluation on roof greening projects of the urban building, the economic, environmental and social impact roof greening projects may have in the whole building life cycle is analyzed. The spatial extent and time span of the economic benefits and economic costs are determined. The path and method of economic benefit and economic cost calculation...
A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model...
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