High spatial resolution images have been increasingly used for urban land use/cover classification, but the high spectral variation within the same land cover, the spectral confusion among different land covers, and the shadow problem often lead to poor classification performance based on the traditional per-pixel spectral-based classification methods. This paper explores approaches to improve ...

It was introduced in this paper the Optimum-Path Forest for land use classification aiming a better environmental management, using images obtained from CBERS 2B CCD satellite covering the area of the Rio das Pedras watershed, Itatinga City, São Paulo State, Brazil. We also compared the Optimum-Path Forest algorithm with the well known supervised classifiers: Artificial Neural Networks using Mu...

14 ERS-1 SAR images were classified using three different classification algorithms. Median filtering and principal component analysis were used in speckle reduction and feature extraction. Feature selection was performed using branch-and-bound algorithm. The best classification accuracy (55-60%) was achieved when principal component images computed from median filtered SAR images were used. In...

the present study aims to simulate the spatial pattern of land use change in lisar protected area,iran. land cover maps for 1989, 2000, and 2007 were depicted using tm, etm+, and irs liss-iii images ofthe area at stake. images were classified using a merge of unsupervised and supervised classification. camarkov model was used to predict land cover maps as a top-down approach in investigating la...

The Land Use/ Cover (LULC) is an essential application in many remotely sensed projects and problems. use simply man-made objects such as urban, road complex targets, etc., while land covers are defined any target phenomenon that appear neutral. LULC study for all current future engineering projects, it shows the nature of land's components, which evident studying modernizing residential areas....

Land classification is so central to geography that its use, and the use of its derivative and corresponding products, is seldom even questioned. Since its earliest implementations land classification has adapted to changes in geographic scale and in the nature of the categorical systematics upon which it is based. Land classification has changed in its techniques and in how it adapts to techno...