… On the well-known UC Merced Land Use dataset we obtain a gain of almost 3% with respect
to the best reference, and almost 5% on the more recent Brazilian Coffee Scenes dataset. …

… Multispectral remote sensing images are the primary source in the land use and land cover
(… The broad usage of multispectral remote sensing images, object-based change detection, …

… remote sensing, … sensing images, especially multisource remote sensing data. To fill in this
gap, this study investigated the capability of combing multisource remote sensing images with …

… of images, in this paper, we introduce an effective land-use … In the land-use classification
scheme, we use discriminative … pixels as attributes to represent images by computing their …

… Remote sensing images from three different sensors having a range of spatial resolutions
were used in this study. To perform LULC classification, LISS IV with 5.8 m, Landsat 8-OLI with …

… sensing images, change detection of these images is crucial to understanding the land-use
and land… ) shows its advantages in HSR remote sensing images change detection. However, …

… to monitor land use transitions using remote sensing imagery … National Land Use Change
monitoring through remote sensing… the transition from cultivated land to construction land in 66 …

… be obtained by sensors installed on aircraft or satellites. Although it would be useful to extract
land-use information from such HSR remote sensing imagery, a single land parcel used for …

… study is to examine the changes in land use/cover pattern in a … land use/cover information
from remote sensing images of … the spatial pattern of the land use/cover index values and their …

… comprise a complex spatial assemblage of spectrally distinct land-cover types. In this study,
… on urban land use in two stages. The first involves classification of the image into broad land-…