Two of the important stages in the production of maps from remotely sensed imagery are rectification and classification. Residual geometric errors following rectification produce a “component” of the apparent classification error. Hence, besides being of value in its own right, reduction of the rectification error will enhance the quality of the classification stage, and the classification accu...

Remote sensing image data from sources such as Landsat or airborne multispectral digital cameras are typically in the form of digital count (DC) values. To compare images acquired by the same sensor system on different dates, or images acquired by different sensor systems, it is necessary to correct for differences in the DC values due to sensor characteristics (gain and offset), illumination o...

Birte Schoettker, Peter Scarth, Stuart Phinn, Michael Schmidt, Robert Denham Centre for Remote Sensing and Spatial Information Science, The School of Geography, Planning and Environmental Management, The University of Queensland, Brisbane QLD 4072, Australia. Corresponding author: [email protected] The Department of Environment and Resource Management, 80 Meiers Road, Indooroopilly, Queens...

Optical remote sensing indices play an important role in vegetation information extraction and have been widely serving ecology, agriculture forestry, urban monitoring, other communities. Remote are constructed from individual bands depending on special characteristics to enhance the typical spectral features for identification or distinction of surface land covers. With development quantitativ...

For optical images, cloud and cloud shadow is always a problem during image processing and interpretation. Landsat ETM+ images, as a kind of optical images, are affected by cloud too. On the other hand, microwave images such as ALOS PALSAR images, which depend on microwave, is not affected by cloud, thus they are cloud-free. The aim of this study is to develop a semi-automatic method for removi...

A Transaction Specification and Management Environment (TSME) is a programmable system that supports: (i) implementation-independent specification of application-specific extended transaction models (ETMs), and (ii) configuration of transaction management mechanisms (TMMs) to enforce specified ETMs. The TSME can ensure correctness and reliability while allowing the functionality required by wor...

images of VPM-PET (left), Ktrans from ETM (middle), and EFPM (right). Choroid Plexus (thick arrow) and pituitary gland (arrow heads) are clearly depicted. The GCV shows high Ktrans on the maps of ETM, rendered with red color, but not EFPM. Note that GCV and other large vessels were not found on the PET image render blue representing lowest intensity. Figure 2. Axial (1st row) and sagittal (2nd ...

We describe a new minimum extent, persistent surface water classification for reaches of four major rivers in the Peruvian Amazon (i.e., Amazon, Napo, Pastaza, Ucayali). These data were generated by Rural Livelihoods and Poverty (PARLAP) Project which aims to better understand nexus between livelihoods (e.g., fishing, agriculture, forest use, trade), poverty, conservation over 35,000 km river n...