Radiometric normalization is critical for multi-spectral image change detection. In this paper, a histogram matching method is proposed to perform relative radiometric normalization among heterogeneously sensed images. To quantify the histogram matching quality, which is reference image and band dependent, the image differencing based quantitative measure, such as Euclidean or Manhattan distanc...

The paper investigates some similarity measures in interval bipolar neutrosophic environment for multi-attribute decision making problems. At first, we define Hamming and Euclidean distances measures between interval bipolar neutrosophic sets and establish their basic properties. We also propose two similarity measures based on the Hamming and Euclidean distance functions. Using maximum and min...

Euclidean distance matrices (EDM) are symmetric nonnegative with several interesting properties. In this article, we introduce a wider class of called generalized (GEDMs) that include EDMs. Each GEDM is an entry-wise matrix. A not unless it EDM. By some new techniques, show many significant results on can be extended to matrices. These contain about eigenvalues, inverse, determinant, spectral r...

In order to meet the performance requirements of global optimality and path smoothness in robot planning, a new fusion algorithm jump-A* dynamic window approach is proposed. First, A* optimized by using jump point search method distance evaluation function defined Manhattan Euclidean obtain information. Then take as core integrating information safely plan op...

Abstract Supervised and unsupervised kernel-based algorithms widely used in the physical sciences depend upon notion of similarity . Their reliance on pre-defined distance metrics—e.g. Euclidean or Manhattan distance—are problematic especially when combination with high-dimensional feature vectors for which measure does not well-reflect differences target property. Metric learning is an elegant...

Human development is a paradigm that places humans as the main target of all activities, namely controling over resources, improving health and education. The Development Index (HDI) in Indonesia varies each district, especially 3T areas. area an classified underdeveloped, remote outermost terms economy, health, education infrastructure. k-Medoids method partitional clustering for grouping seve...