Extraction of Building in Satellite image THR using Features Detection
نویسندگان
چکیده
منابع مشابه
Detection of Coastline Using Satellite Image-Processing Technique
Extended abstract 1- Introduction Coasts maintain their natural sustainability without human intervention and in spite of short-term changes, we are ultimately confronted with a coastal healthy environment, i.e. natural, rocky beaches, sandy beaches and so on. Today's use of remote sensing in most natural sciences is widespread. Due to the fact that fieldwork is costly and time-consuming, ...
متن کاملSatellite Image Feature Extraction - using Panchromatic Sharpening
Satellite data has been successfully used for various applications. Satellite images of different spatial resolutions are commercially available. But most times available satellite images are in compressed form, also of very small size and low resolution. This makes quite difficult to read useful data from an images for particular application. To overcome this difficulty we can preprocess that ...
متن کاملAutomatic Extraction of Building Features from High Resolution Satellite Images Using Artificial Neural Networks
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This paper proposes a system for increasing the degree of automation in extraction of building features with different rooftops from high resolution Multispectral satellite images (e.g., IKONOS and Qui...
متن کاملBuilding Extraction from Satellite Images
A method for detecting buildings from satellite/aerial images is proposed in this paper. The aim is to extract rectilinear buildings by using hypothesis. Hypothesis generation is accomplished by using edge detection and line generation methods. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image. Satellite imag...
متن کاملComparison of Performance in Image Classification Algorithms of Satellite in Detection of Sarakhs Sandy zones
Extended abstract 1- Introduction Wind erosion as an “environmental threat” has caused serious problems in the world. Identifying and evaluating areas affected by wind erosion can be an important tool for managers and planners in the sustainable development of different areas. nowadays there are various methods in the world for zoning lands affected by wind erosion. One of the most important...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2018
ISSN: 0975-8887
DOI: 10.5120/ijca2018917649