The variance filter is a textural algorithm capable of distinguishing between pat, uniform water bodies and cloud or mountain shadows when applied to satellite imagery. The filter output forms the basis of rules used by a knowledgebased classifier, which segments water adaptively. The use of the filter in the unsupervised classification of water is demonstrated on two spectrally varied Landsat ...

The Tasseled Cap transformations of Landsat MSS (Kauth and Thomas, 1976) and TM (Crist and Cicone, 1984a,b) data provided a mechanism for data volume reduction and enhanced data interpretability by emphasizing the structures in the spectral data which arise as a result of particular physical characteristics of scene classes. The basic concepts underlying these transformations are discussed by C...

Objective To review the literature on the effectiveness, safety and long-term patency of ureteric metal mesh stents (MSs), as a variety of MSs have been used for managing malignant ureteric obstruction over the last three decades. Materials and methods A systematic review using the search string; Ureter∗ AND (stent OR endoprosthesis) AND metal∗ was conducted on PubMed, Scopus, Web of science ...

An end-member selection method for spectral unmixing that is based on Particle Swarm Optimization (PSO) is developed in this paper. The algorithm uses the K-means clustering algorithm and a method of dynamic selection of end-members subsets to find the appropriate set of end-members for a given set of multispectral images. The proposed algorithm has been successfully applied to test image sets ...

Remote Sensing (RS) data and techniques, in combination with GIS and landscape metrics, are fundamental to analyse and characterise Land Cover (LC) and its changes. The case study here described, has been conducted in the area of Avellino (Southern Italy). To characterise the dynamics of changes during a fifty year period (1954÷2004), a multitemporal set of images has been processed: aerial pho...

Shape analysis has not been considered in remote sensing as extensively as in other pattern recognition applications. However, shapes such as those of geometric patterns in agriculture and irregular boundaries of lakes can be extracted from the remotely sensed imagery even at relatively coarse spatial resolutions. This paper presents a procedure for efficiently retrieving and representing shape...

Abstruct-In the conventional remote sensing supervised classification, training information and classification results are represented in a one-pixel-one-class method. Class mixture cannot be taken into consideration in training a classifier and in determining pixels’ membership. The expressive limitation has reduced the classification accuracy level and led to the poor extraction of informatio...

Molecular skin surface (MSS), proposed by Edelsbrunner, is a C2 continuous smooth surface modeling approach of biological macromolecules. Compared to the traditional methods of molecular surface representations (e.g., the solvent exclusive surface), MSS has distinctive advantages including having no self-intersection and being decomposable and transformable. For further promoting MSS to the fie...

The relationship between landuse/landcover (LULC) changes and land degradation in two Mediterranean sites is investigated using remotely sensed and ancillary data. The areas of study, the Xaló river catchment in the north of the Alicante province in southeast Spain and the Aegean island of Lesbos, Greece, have both been subjected to changes in LULC, such as abandonment, overgrazing, forest fire...

The expansion of irrigated agriculture during the Soviet Union (SU) era made Central Asia a leading cotton production region in the world. However, the successor states of the SU in Central Asia face on-going environmental damages and soil degradation that are endangering the sustainability of agricultural production. With Landsat MSS and TM data from 1972/73, 1977, 1987, 1998, and 2000 the exp...