Automatic relative radiometric normalization method based on SIFT feature matching
نویسندگان
چکیده
منابع مشابه
Automatic Relative Radiometric Normalization for Change Detection of Satellite Imagery
Several relative radiometric normalization (RRN) techniques have been proposed till date most of which involve selection of pseudo invariant features whose reflectance are nearly invariant from image to image and are independent of seasonal cycles. Extraction of such points is quiet tedious and human operator has to provide mutual correspondence by choosing easily recognizable and time invarian...
متن کاملVF-SIFT: Very Fast SIFT Feature Matching
Feature-based image matching is one of the most fundamental issues in computer vision tasks. As the number of features increases, the matching process rapidly becomes a bottleneck. This paper presents a novel method to speed up SIFT feature matching. The main idea is to extend SIFT feature by a few pairwise independent angles, which are invariant to rotation, scale and illumination changes. Dur...
متن کاملVideo Image Tracing Based on Improved SIFT Feature Matching Algorithm
In this paper, we focus on the extraction problem of the target motion trajectory and make deep research. For Euclidean distance of SIFT feature matching algorithm is not adaptively adjustable, a improved SIFT feature matching algorithm based on multi-objective optimization is proposed. The optimization model is established to reduce mismatch rate, which consider Euclidean distance between corr...
متن کاملImproved Characters Feature Extraction and Matching Algorithm Based on SIFT
According to SIFT algorithm does not have the property of affine invariance, and the high complexity of time and space, it is difficult to apply to real-time image processing for batch image sequence, so an improved SIFT feature extraction algorithm was proposed in this paper. Firstly, the MSER algorithm detected the maximally stable extremely regions instead of the DOG operator detected extrem...
متن کاملRelative Radiometric Normalization of Multitemporal images
— A correct radiometric normalization between both images is fundamental for change detection. MAD method and its IR-MAD extension in an implementation on multisprectral aerial images is described in this paper.
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: JOURNAL OF INFRARED AND MILLIMETER WAVES
سال: 2012
ISSN: 1001-9014
DOI: 10.3724/sp.j.1010.2012.00355