In this paper, a novel recognition-driven variational framework, toward multiple building
extraction from aerial and satellite images, is introduced. To this end, competing shape …

High-resolution satellite imagery is considered an excellent candidate for extracting
information about the human activities on Earth. The information about residential …

We present an overall performance comparison between the two most popular remote
sensing image classification approaches which are: Pixel-based and Object-based. This …

We present a mammographic computer aided diagnosis (CAD) system, which uses an
adaptive level set segmentation method (ALSSM), which segments suspicious masses in …

摘要提出了一种先验形状约束的变分水平集模型, 并将其用于单幅遥感图像多建筑物的自动提取
中. 将多个先验形状竞争模型引入水平集方法中, 在标记函数的指导下, 利用先验形状能量来约束 …

Few studies have examined hyperspectral remote-sensing image classification with type-II
fuzzy sets. This paper addresses image classification based on a hyperspectral remote …

This work describes numerical methods for the joint reconstruction and segmentation of
spectral images taken by compressive sensing coded aperture snapshot spectral imagers …

Critical micelle concentrations (cmc) were determined from electrical conductivity and
surface tension measurements of various ionic surfactants, such as sodium caprylate …

A fast algorithm for multiscale representation and segmentation of hyperspectral imagery is
introduced in this paper. The multiscale/scale-space representation is obtained by solving a …

A novel variational level set model for multiple-building extraction from a single remote
image is proposed in this paper. Multi-competing shapes are considered together with the …