Image Processing for Cartographic Applications
نویسندگان
چکیده
منابع مشابه
Cartographic Data Extraction from Airborne Imagery by Hierarchical-based Morphologic Image Processing
This paper presents a comprehensive approach to effectively extract cartographic urban data from high resolution satellite imagery. It consists of a sequence of image processing techniques, for image segmentation, based on RGB band separation, analysis and preprocessing, followed by a morphological-based approach for data segmentation. The chosen image objects for this study are roof-tile build...
متن کاملA Novel Multiply-Accumulator Unit Bus Encoding Architecture for Image Processing Applications
In the CMOS circuit power dissipation is a major concern for VLSI functional units. With shrinking feature size, increased frequency and power dissipation on the data bus have become the most important factor compared to other parts of the functional units. One of the most important functional units in any processor is the Multiply-Accumulator unit (MAC). The current work focuses on the develop...
متن کاملKohonen Self Organizing for Automatic Identification of Cartographic Objects
Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...
متن کاملPlanar decomposition for quadtree data structure
The quadtree data structure is extensively used in representing 2dimensional data in many applications like image processing, cartographic data processing. VLSI embedding, graphics, computer animation, computer-aided architecture, etc. The data structure employs the divideand-conquer technique to recursively decompose the planar region. This paper addresses the problem of planar tessellation wh...
متن کاملDeblocking Joint Photographic Experts Group Compressed Images via Self-learning Sparse Representation
JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013