In this work, we investigate whether the performance of pansharpening methods depends on their input data format; in case spectral radiance, either its original floating-point format or an integer-packed fixed-point format. It is theoretically proven and experimentally demonstrated that based multiresolution analysis are unaffected by Conversely, crucial for component substitution, unless inten...

The La Grande River watershed, located in the James Bay region (54°N, Quebec, Canada), is a major contributor to the production of hydroelectricity in the province. Peatlands cover up to 20% of the terrestrial environment in this region. Their hydrological behavior is not well understood. The present study is part of a multidisciplinary project which is aimed at analyzing the hydrological proce...

Impervious surfaces, as a key indicator of urban spatial environmental factors, have great significance in exploring the distribution law and pattern rural-urban fringe areas. To handle increasingly rich feature information complicated structure high resolution remote sensing images (HSRRSIs), semantic network model-guided extraction method for HSRRSI impervious surfaces fringes is proposed. Th...

In this study, we investigate whether a nonlinear intensity component can be beneficial for multispectral (MS) pansharpening based on component-substitution (CS). classical CS methods, the is linear combination of spectral components and lies hyperplane in vector space that contains MS pixel values. Starting from hyperspherical color (HCS) fusion technique, devise novel method, which hyper-elli...

The present research developed a novel methodological framework to differentiate natural mangrove stands (i.e., original), from which were planted and naturally established after interaction between non-planted (e.g., through pollination, i.e., non-original). Ground-truth remote sensing data collected for Zhanjiang Mangrove National Nature Reserve (ZMNNR) in P.R. China. First, satellite images ...

0099-1112/11/7710–1011/$3.00/0 © 2011 American Society for Photogrammetry and Remote Sensing Abstract This paper uses GeoEye-1 imagery and airborne lidar (Light Detection and Ranging) data to map buildings and their rubble in Port-au-Prince caused by the Haiti earthquake on 12 January 2010. This is achieved by performing an objectbased one-class-at-a-time land cover classification of the image ...

In this paper we describe a new approach for the extraction of urban objects from very high resolution (VHR) optical stereo satellite imagery. Such data is delivered from sensors like Ikonos, QuickBird, GeoEye or WorldView-II. These sensors provide ground sampling distances (GSD) of 0.5 to 1 m for the pan chromatic channel and 2 to 4 m for the multispectral channels. Normally good digital surfa...

The U.S. Geological Survey (USGS) has developed the first of a series of geometric test ranges over Sioux Falls, South Dakota. The purposes of these test ranges are for evaluating, validating and characterizing high resolution satellite and aerial images. The Sioux Falls test range uses accurate and standardized high resolution aerial orthophotos as a reference dataset to compare and characteri...