Search Results - "Samat, Alim"

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features by Du, Peijun, Samat, Alim, Waske, Björn, Liu, Sicong, Li, Zhenhong

“…Fully Polarimetric Synthetic Aperture Radar (PolSAR) has the advantages of all-weather, day and night observation and high resolution capabilities. The…”
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Advances in Remote Sensing and Machine Learning Methods for Invasive Plants Study: A Comprehensive Review by Zaka, Muhammad Murtaza, Samat, Alim

“…This paper provides a comprehensive review of advancements in the detection; evaluation; and management of invasive plant species (IPS) using diverse remote…”
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Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression by Luo, Jieqiong, Du, Peijun, Samat, Alim, Xia, Junshi, Che, Meiqin, Xue, Zhaohui

“…Based on annual average PM 2.5 gridded dataset, this study first analyzed the spatiotemporal pattern of PM 2.5 across Mainland China during 1998–2012. Then…”
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Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles by Samat, Alim, Li, Erzhu, Wang, Wei, Liu, Sicong, Lin, Cong, Abuduwaili, Jilili

“…To investigate the performance of extreme gradient boosting (XGBoost) in remote sensing image classification tasks, XGBoost was first introduced and…”
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Concentration and correlation analysis of hydro-meteorological factors in the northern sub-basin of Lake Issyk-Kul in Central Asia by Alifujiang, Yilinuer, Abuduwaili, Jilili, Samat, Alim, Feng, Pingping, Jiang, Ying

“…•We investigated the intra-annual runoff variations and periods in an endorheic lake basin-Issyk-Kul basin, Central Asia.•The runoff variability was…”
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Improved hyperspectral image classification by active learning using pre-designed mixed pixels by Samat, Alim, Li, Jun, Liu, Sicong, Du, Peijun, Miao, Zelang, Luo, Jieqiong

“…Due to the limitation of labeled training samples, computational complexity, and other difficulties, active learning (AL) algorithms aiming at finding the most…”
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GPU-Accelerated CatBoost-Forest for Hyperspectral Image Classification Via Parallelized mRMR Ensemble Subspace Feature Selection by Samat, Alim, Li, Erzhu, Du, Peijun, Liu, Sicong, Xia, Junshi

“…In this article, the graphics processing unit (GPU)-accelerated CatBoost (GPU-CatBoost) algorithm for hyperspectral image classification is first introduced…”
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Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification by Xu, Ren, Samat, Alim, Zhu, Enzhao, Li, Erzhu, Li, Wei

“…High- and very high-resolution (HR, VHR) remote sensing (RS) images can provide comprehensive and intricate spatial information for land cover classification,…”
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Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries by Liu, Ximing, Samat, Alim, Li, Erzhu, Wang, Wei, Abuduwaili, Jilili

“…Impervious surface area (ISA) has been recognized as a significant indicator for evaluating levels of urbanization and the quality of urban ecological…”
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Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection by Liu, Sicong, Du, Qian, Tong, Xiaohua, Samat, Alim, Bruzzone, Lorenzo, Bovolo, Francesca

“…A novel multiscale morphological compressed change vector analysis (M 2 C 2 VA) method is proposed to address the multiple-change detection problem (i.e.,…”
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Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform by Wang, Wei, Samat, Alim, Ge, Yongxiao, Ma, Long, Tuheti, Abula, Zou, Shan, Abuduwaili, Jilili

“…A lack of long-term soil wind erosion data impedes sustainable land management in developing regions, especially in Central Asia (CA). Compared with…”
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A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification by Liu, Sicong, Zheng, Yongjie, Du, Qian, Samat, Alim, Tong, Xiaohua, Dalponte, Michele

“…This article develops a robust feature fusion approach to enhance the classification performance of very high resolution (VHR) remote sensing images…”
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An Object-Oriented CNN Model Based on Improved Superpixel Segmentation for High-Resolution Remote Sensing Image Classification by Li, Zhiqing, Li, Erzhu, Samat, Alim, Xu, Tianyu, Liu, Wei, Zhu, Yihu

“…Object-oriented convolutional neural network (CNN) has been proven to be an effective classification method for very fine spatial resolution remotely sensed…”
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Evaluation of Remote Sensing Products for Wetland Mapping in the Irtysh River Basin by Luo, Kaiyue, Samat, Alim, Abuduwaili, Jilili, Li, Wenbo

“…As a transboundary river with rich and unique wetland types, the Irtysh River faces various challenges and threats from human activities and climate change,…”
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Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification by Samat, Alim, Gamba, Paolo, Sicong Liu, Peijun Du, Abuduwaili, Jilili

“…Active learning (AL) methods that select unlabeled samples only querying by informative measures (i.e., uncertainty and/or diversity criteria) have been…”
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Spatiotemporal Pattern, Evolutionary Trend, and Driving Forces Analysis of Ecological Quality in the Irtysh River Basin (2000–2020) by Li, Wenbo, Samat, Alim, Abuduwaili, Jilili, Wang, Wei

“…Considering climate change and increasing human impact, ecological quality and its assessment have also received increasing attention. Taking the Irtysh River…”
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Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images by Liu, Sicong, Du, Qian, Tong, Xiaohua, Samat, Alim, Pan, Haiyan, Ma, Xiaolong

“…This paper proposes to use band selection-based dimensionality reduction (BS-DR) technique in addressing a challenging multi-temporal hyperspectral images…”
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Improving Deep Forest via Patch-Based Pooling, Morphological Profiling, and Pseudo Labeling for Remote Sensing Image Classification by Samat, Alim, Li, Erzhu, Du, Peijun, Liu, Sicong, Miao, Zelang

“…Deep forest (DF), an alternative to neural networks (NNs)-based deep learning (DL), has gained increasing attentions in recent years. Despite its remarkable…”
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Estimating Large-Scale Interannual Dynamic Impervious Surface Percentages Based on Regional Divisions by Xu, Tianyu, Li, Erzhu, Samat, Alim, Li, Zhiqing, Liu, Wei, Zhang, Lianpeng

“…Impervious surface information is an important indicator to describe urban development and environmental changes. The substantial increase in impervious…”
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HOLP-DF: HOLP Based Screening Ultrahigh Dimensional Subfeatures in Deep Forest for Remote Sensing Image Classification by Samat, Alim, Li, Erzhu, Wang, Wei, Liu, Sicong, Liu, Ximing

“…To overcome the high intramodel dimensionality and low ensemble diversity issues, which limit the classification performance of original deep forest (DF), a…”
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