Object-based crop pattern detection from IKONOS satellite images in agricultural areas
نویسندگان
چکیده
منابع مشابه
Automatic Verifiaction of Agricultural Areas Using Ikonos Satellite Images
The usefulness and acceptance of geoinformation systems (GIS) mainly depend on the quality of the underlying geodata. The aim of this paper is to introduce an approach for the verification of cropland and grassland objects in a GIS. The approach compares the GIS objects with data derived from high resolution remote sensing imagery using image analysis techniques. Textural, structural, and radio...
متن کاملAutomatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method
Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...
متن کاملAutomated Tree and Building Detection in Residential Areas from Stereo Ikonos Images
Stereoscopic analysis of target images is the primary and conventional method for photogrammetric 3D range data construction. For object detection in high resolution satellite images, it is advantageous if the processing method can exploit a stereo derived DEM so that the technique can be applied anywhere in the world. Central to this is the need for a very reliable stereo matching algorithm an...
متن کاملChange detection from satellite images based on optimal asymmetric thresholding the difference image
As a process to detect changes in land cover by using multi-temporal satellite images, change detection is one of the practical subjects in field of remote sensing. Any progress on this issue increase the accuracy of results as well as facilitating and accelerating the analysis of multi-temporal data and reducing the cost of producing geospatial information. In this study, an unsupervised chang...
متن کاملObject-based Forest Change Detection Using High Resolution Satellite Images
An object-based approach for forest disaster change detection using High Resolution (HR) satellite images is proposed. An automatic feature selection process is used to optimize image segmentation via an original calibration-like procedure. A multitemporal classification then enables the separation of wind-fall from intact areas based on a new descriptor that depends on the level of fragmentati...
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: Pamukkale University Journal of Engineering Sciences
سال: 2019
ISSN: 1300-7009
DOI: 10.5505/pajes.2018.25428