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Urban impervious surface detection from remote sensing images: A review of the methods and challenges
Y Wang, M Li - IEEE Geoscience and Remote Sensing …, 2019 - ieeexplore.ieee.org
Urban impervious surface (UIS) offers potentially valuable information for the development
of sustainable urban management strategies and environmental change monitoring actions …
of sustainable urban management strategies and environmental change monitoring actions …
Structure consistency-based graph for unsupervised change detection with homogeneous and heterogeneous remote sensing images
Change detection (CD) of remote sensing (RS) images is one of the important problems in
earth observation, which has been extensively studied in recent years. However, with the …
earth observation, which has been extensively studied in recent years. However, with the …
A comparative review of manifold learning techniques for hyperspectral and polarimetric SAR image fusion
In remote sensing, hyperspectral and polarimetric synthetic aperture radar (PolSAR) images
are the two most versatile data sources for a wide range of applications such as land use …
are the two most versatile data sources for a wide range of applications such as land use …
Dual-band polarimetric HRRP recognition via a brain-inspired multi-channel fusion feature extraction network
W Yang, Q Zhou, M Yuan, Y Li, Y Wang… - Frontiers in …, 2023 - frontiersin.org
Radar high-resolution range profile (HRRP) provides geometric and structural information of
target, which is important for radar automatic target recognition (RATR). However, due to the …
target, which is important for radar automatic target recognition (RATR). However, due to the …
Multisource data fusion for landslide classification using generalized positive Boolean functions
In this paper, a novel technique is proposed for a supervised classification of multisource
images for the purpose of landslide hazard assessment. The method, known as the …
images for the purpose of landslide hazard assessment. The method, known as the …
Multimodal hyperspectral image classification via interconnected fusion
Existing multiple modality fusion methods, such as concatenation, summation, and encoder-
decoder-based fusion, have recently been employed to combine modality characteristics of …
decoder-based fusion, have recently been employed to combine modality characteristics of …
A parallel simulated annealing approach to band selection for high-dimensional remote sensing images
YL Chang, KS Chen, B Huang… - IEEE Journal of …, 2011 - ieeexplore.ieee.org
In this paper a parallel band selection approach, referred to as parallel simulated annealing
band selection (PSABS), is presented for high-dimensional remote sensing images. The …
band selection (PSABS), is presented for high-dimensional remote sensing images. The …
Hyperspectral band selection based on parallel particle swarm optimization and impurity function band prioritization schemes
YL Chang, JN Liu, YL Chen, WY Chang… - Journal of Applied …, 2014 - spiedigitallibrary.org
In recent years, satellite imaging technologies have resulted in an increased number of
bands acquired by hyperspectral sensors, greatly advancing the field of remote sensing …
bands acquired by hyperspectral sensors, greatly advancing the field of remote sensing …
A simulated annealing feature extraction approach for hyperspectral images
YL Chang - Future Generation Computer Systems, 2011 - Elsevier
In this paper, a novel study of the simulated annealing feature extraction (SAFE) for high-
dimensional remote sensing images is proposed. The approach is based on the greedy …
dimensional remote sensing images is proposed. The approach is based on the greedy …
Multisource data fusion and Fisher criterion-based nearest feature space approach to landslide classification
In this paper, a novel technique known as the Fisher criterion-based nearest feature space
(FCNFS) approach is proposed for supervised classification of multisource images for the …
(FCNFS) approach is proposed for supervised classification of multisource images for the …