Maps are used to describe far-off places. It is an aid for navigation and military strategies. Mapping of the lands are important and the mapping work is based on (i). Natural resource management & development (ii). Information technology ,(iii). Environmental development ,(iv). Facility management and (v). e-governance. The Landuse / Landcover system espoused by almost all Organisations and sc...

Panchromatic (PAN) satellite imagery has been used successfully in different applications such as topographic mapping and terrain modelling. Nevertheless, PAN imagery is still one of the less used digital sources for land-change studies except few processes where the high-resolution of the PAN images is used to improve the visualization quality of the multi-spectral images. This research aimed ...

Accurate building detection is a critical task in urban development and digital city mapping. However, current models for high-resolution remote sensing images are still facing challenges due to complex object characteristics similarities appearance. To address this issue, paper proposes novel algorithm based on in-depth feature extraction classification of adaptive superpixel shredding. The pr...

A new version of the Earth system model of intermediate complexity, CLIMBER-2, which includes the three-dimensional polythermal ice-sheet model SICOPOLIS, is used to simulate the last glacial cycle forced by variations of the Earth’s orbital parameters and atmospheric concentration of major greenhouse gases. The climate and icesheet components of the model are coupled bi-directionally through a...

This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...

high-resolution imagery such as ikonos satellite can produce useful information for many resource management applications. we investigated the capability of pan and multi spectral ikonos imagery of one region of tehran dated from 2005 in urban vegetation management and mapping of green cover. after data quality of images for radiometric noises, the images were geometrically corrected by polynom...

Introduction Classification is a fundamental image processing operation to extract information from remote sensing data. Both crisp and fuzzy classifications may be performed. In a crisp classification, each image pixel is assumed to be pure and is classified to one class. Often, particularly in coarse spatial resolution images, the pixels may be mixed containing two or more classes. Fuzzy clas...

Scene classification is a key problem in the interpretation of high-resolution remote sensing imagery. Many state-of-the-art methods, e.g. bag-of-visual-words model and its variants, the topic models as well as deep learning-based approaches, share similar procedures: patch sampling, feature description/learning and classification. Patch sampling is the first and a key procedure which has a gre...

Super-resolution (SR) is a technique that produces a high resolution (HR) image via employing a number of low resolution (LR) images from the same scene. One of the degradations that attenuates performance of the SR is the blurriness of the input LR images. In many previous works in the SR, the blurriness of the LR images is assumed to be due to the integral effect of the image sensor of the im...