A survey of content-based image retrieval with high-level semantics
In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …
focus has been shifted from designing sophisticated low-level feature extraction algorithms …
Random forest algorithm for land cover classification
AD Kulkarni, B Lowe - 2016 - scholarworks.uttyler.edu
Since the launch of the first land observation satellite Landsat-1 in 1972, many machine
learning algorithms have been used to classify pixels in Thematic Mapper (TM) imagery …
learning algorithms have been used to classify pixels in Thematic Mapper (TM) imagery …
Assessment of the effectiveness of support vector machines for hyperspectral data
Support vector machines (SVMs) have recently been introduced into machine learning for
pattern recognition. In this paper, a multi-class SVM is used for classification of DAIS …
pattern recognition. In this paper, a multi-class SVM is used for classification of DAIS …
Large-area, high spatial resolution land cover map** using random forests, GEOBIA, and NAIP orthophotography: Findings and recommendations
Despite the need for quality land cover information, large-area, high spatial resolution land
cover map** has proven to be a difficult task for a variety of reasons including large data …
cover map** has proven to be a difficult task for a variety of reasons including large data …
Region-based image retrieval with high-level semantics using decision tree learning
Semantic-based image retrieval has attracted great interest in recent years. This paper
proposes a region-based image retrieval system with high-level semantic learning. The key …
proposes a region-based image retrieval system with high-level semantic learning. The key …
Classification of multi-temporal spectral indices for crop type map**: a case study in Coalville, UK
Y Palchowdhuri, R Valcarce-Diñeiro, P King… - The Journal of …, 2018 - cambridge.org
Remote sensing (RS) offers an efficient and reliable means to map features on Earth. Crop
type map** using RS at various temporal and spatial resolutions plays an important role …
type map** using RS at various temporal and spatial resolutions plays an important role …
Map** heterogeneous urban landscapes from the fusion of digital surface model and unmanned aerial vehicle-based images using adaptive multiscale image …
Considering the high-level details in an ultrahigh-spatial-resolution (UHSR) unmanned
aerial vehicle (UAV) dataset, detailed map** of heterogeneous urban landscapes is …
aerial vehicle (UAV) dataset, detailed map** of heterogeneous urban landscapes is …
Discrimination and classification of mangrove forests using EO-1 Hyperion data: a case study of Indian Sundarbans
T Kumar, A Mandal, D Dutta, R Nagaraja… - Geocarto …, 2019 - Taylor & Francis
In remote sensing the identification accuracy of mangroves is greatly influenced by terrestrial
vegetation. This paper deals with the use of specific vegetation indices for extracting …
vegetation. This paper deals with the use of specific vegetation indices for extracting …
Multispectral image analysis using random forest
B Lowe, A Kulkarni - 2015 - scholarworks.uttyler.edu
Classical methods for classification of pixels in multispectral images include supervised
classifiers such as the maximum-likelihood classifier, neural network classifiers, fuzzy neural …
classifiers such as the maximum-likelihood classifier, neural network classifiers, fuzzy neural …
An insight into the prediction of scale precipitation in harsh conditions using different machine learning algorithms
Scale precipitation in petroleum equipment is known as an important problem that causes
damages in injection and production wells. Scale precipitation causes equipment corrosion …
damages in injection and production wells. Scale precipitation causes equipment corrosion …