Crop region extraction of remote sensing images based on fuzzy ARTMAP and adaptive boost
نویسندگان
چکیده
منابع مشابه
Crop region extraction of remote sensing images based on fuzzy ARTMAP and adaptive boost
Crop area statistics and yield prediction will affect adjustment of agricultural policy, to a certain extent. With the development of computer automatic classification techniques, the performance of classifiers are influenced by feature preprocessing and sample selection. Remote sensing classification according to spectral information is affected by false negatives and miscalculation in the com...
متن کاملFarmland Parcels Extraction Based on High Resolution Remote Sensing Images
Extracting farmland parcels from high resolution remote sensing images is an important issue for land-use dynamic monitoring, precision agriculture and other fields. However, the traditional method, using GIS software and manual digital, has wasted a lot of human and material resources. In addition, the results are impacted by the human factors obviously. Therefore, an automatically extraction ...
متن کاملFuzzy Supervised Classification of Remote Sensing Images
Abstruct-In the conventional remote sensing supervised classification, training information and classification results are represented in a one-pixel-one-class method. Class mixture cannot be taken into consideration in training a classifier and in determining pixels’ membership. The expressive limitation has reduced the classification accuracy level and led to the poor extraction of informatio...
متن کاملRegion-of-Interest Extraction Based on Local-Global Contrast Analysis and Intra-Spectrum Information Distribution Estimation for Remote Sensing Images
Traditional saliency analysis models have made great advances in region of interest (ROI) extraction in natural scene images and videos. However, due to different imaging mechanisms and image features, those approaches are not quite appropriate for remote sensing images. Thus, we propose a novel saliency analysis and ROI extraction method for remote sensing images, which is composed of local–gl...
متن کاملSegmentation 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 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 Intelligent & Fuzzy Systems
سال: 2015
ISSN: 1064-1246,1875-8967
DOI: 10.3233/ifs-151983