A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images
نویسندگان
چکیده
منابع مشابه
Segmentation Improvement of High Resolution Remote Sensing Images based on superpixels using Edge-based SLIC algorithm (E-SLIC)
The segmentation of high resolution remote sensing images is one of the most important analyses that play a significant role in the maximal and exact extraction of information. There are different types of segmentation methods among which using superpixels is one of the most important ones. Several methods have been proposed for extracting superpixels. Among the most successful ones, we can r...
متن کاملHaze and Cirrus Removal for Remote Sensing Image by Haze Thickness Map Estimation
Multispectral satellite images are often affected by haze and/or cirrus. A previous paper conferred a haze removal method that calculates a haze thickness based on a local search of dark objects. The haze-free signal is restored by subtracting the HTM from the affected image. The HTM method is substantially improved by employing the 1.38-μm cirrus band. The top-of-troposphere reflectance cirrus...
متن کاملA New Method for Urban Road Extraction based on High Resolution Remote Sensing Images
An efficient method to extract urban road based on the side trees from a high resolution remote sensing image is proposed. First, the high resolution remote sensing image was preprocessed so as to improve the extraction accuracy and reduce the difficulty of later treatment. Second, according to the reflective property of side trees and urban road, it is necessary to detect the side trees region...
متن کاملA novel registration method for high resolution remote sensing images based on JSEG and NMI
When traditional multi-scale analysis tools are applied to high resolution remote sensing image registration, difficulties and limitations are common in selection of directional sub-bands and distribution optimization of control point pairs etc. Aiming at this issue, a novel registration method based on JSEG and NMI is proposed in this paper. It is the method that incorporates the multi-scale s...
متن کاملHigh Efficient Classification on Remote Sensing Images Based on Svm
Automatic image categorization using low-level features is a challenging research topic in remote sensing application. In this paper, we formulate the image categorization problem as an image texture learning problem by viewing an image as a collection of regions, each obtained from image segmentation. Our approach performs an effective feature mapping through a chosen metric distance function....
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: Remote Sensing
سال: 2016
ISSN: 2072-4292
DOI: 10.3390/rs8100844