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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Scopus
ISSN 1939-1404 · IEEE · 8,322 articles in the index
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Journal Article
Multiscale Fully Connected Tensor Network Decomposition With NSST Guidance for Thick Cloud Removal
Thick cloud coverage presents a significant challenge for the analysis and application of multitemporal remote sensing imagery. Although existing cloud removal methods attempt to exploit spatio-spectral-temporal correlations, they often fail to adequately capture cross-scale complementary features…
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Journal Article
DBAF-Net: Dual Branch Alignment and Fusion Network for Remote Sensing Change Detection
The field of remote sensing change detection (RSCD) has witnessed remarkable progress. Most existing RSCD methods currently follow the encoder-feature interaction-decoder architecture. However, these methods often treat spatial details and semantic information in a combined manner during the…
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Journal Article
Extraction of Habitat Suitability for Fall Armyworm in East Africa Considering Phenological Information
The fall armyworm (Spodoptera frugiperda), a highly polyphagous and destructive agricultural pest, has posed severe threats to food security in East Africa since its invasion. Identifying habitat suitability for the fall armyworm is critical for early prevention and control. However, existing…
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Journal Article
Feature-Screened and Structure-Constrained Deep Forest for Unsupervised SAR Image Change Detection
Deep forest-based models for synthetic aperture radar (SAR) image change detection are generally challenged by noise sensitivity and high feature redundancy, which significantly degrade the prediction performance. To address these issues, this article proposes a structure-constrained and…
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Journal Article
Estimation of Ships’ Complex High-Resolution Range Profiles Based on Sparse Optimization Method in Non-Gaussian Sea Clutter
In high-resolution maritime radar working in scanning mode, the classification and identification of ships require the recovery of the ship’s high-resolution range profiles (HRRPs) from radar returns. The return signal from the ship is a complex sparse signal interfered by non-Gaussian sea clutter…
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Journal Article
CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model
Mamba, with itsadvantages of global perception and linear complexity, has been widely applied to identify changes of the target regions within the remote sensing (RS) images captured under complex scenarios and varied conditions. However, existing remote sensing change detection (RSCD) approaches…
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Journal Article
Planes, Not A380: How Prompting, Context, and Granularity Shape VLM Performance in Aerial Imagery
Vision-language models (VLMs) have demonstrated impressive generalization abilities across various vision-and-language tasks, yet their effectiveness for object classification in remote sensing imagery remains uncertain. Accurate overhead object classification, combined with class-agnostic…
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Journal Article
Controllable Reference-Guided Diffusion With Local–Global Fusion for Real-World Remote Sensing Super Resolution
Super-resolution (SR) techniques enhance the spatial resolution of remote sensing images, supporting large-scale Earth observation. While single-image SR methods improve low-resolution (LR) inputs, they often ignore valuable information from auxiliary data. Reference-based super-resolution (RefSR)…
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Journal Article
SAR-UMSDN: The Unsupervised Multimodal Ship Detection Network Based on SAR Images
In response to the problems faced by synthetic aperture radar (SAR) images in detecting ships in complex near-shore scenarios, such as low signal-to-noise ratio of small targets and limited feature representation capacity of a single SAR mode, and also due to the fact that real optical images in…
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Journal Article
Sensitive Band Selection Method for Hyperspectral Images of Pine Wilt Disease Infected Trees Based on Adaptive Subspace Partitioning
Pine wilt disease (PWD), referred known as “pine cancer,” is incurable and highly contagious, with a high mortality rate, posing a serious threat to global pine resources. Early detection, localization, and clearance of infected trees remain the only effective control strategies. However, the…
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Journal Article
Enhancing Estimation Performance of Winter Wheat Chlorophyll Fluorescence Parameter Fv/Fm by Fusing Spectral, Textural, and Physiological Features
The ratio of variable fluorescence to maximum fluorescence (Fv/Fm) is a critical indicator of crop photosynthetic health, yet its accurate estimation via remote sensing remains challenging. While vegetation indices (VIs) have been widely used for this purpose, integrating them with texture features…
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Journal Article
Retrieval of Sea Surface Mean-Square Slope From GNSS-R Delay–Doppler Maps Using a Serial CNN-Transformer Model
The mean-square slope (MSS) of rough sea surfaces is an important statistical parameter used to characterize sea surface roughness. However, accurately deriving sea surface MSS through spectral integration remains challenging, primarily due to the difficulty in obtaining full-band wave spectral…
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Journal Article
Disaster Detection on the Fly: Optimized Transformers for UAVs
Disaster management and recovery are one of the crucial tasks in today’s world. However, in many countries, disaster management still relies on human intervention, which can present a significant challenge, particularly in remote or inaccessible regions where timely intervention is required. To…
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Journal Article
A Deep Learning-Based Model for Forest Canopy Height Mapping Using Multisource Remote Sensing Data
Forest canopy height is a critical structural parameter for accurately assessing forest carbon storage. This study integrates Global Ecosystem Dynamics Investigation (GEDI) LiDAR data with multisource remote sensing features to construct a multidimensional feature space comprising 13 parameters. By…
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Journal Article
DARFNet: A Divergence-Aware Reciprocal Fusion Network for Multispectral Feature Alignment and Fusion
Robust detection of small objects in remote sensing imagery remains a significant challenge due to complex backgrounds, scale variation, and modality inconsistency. In this article, we propose DARFNet, a novel multispectral detection framework that effectively integrates RGB and infrared…
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Journal Article
AMFC-DEIM: Improved DEIM With Adaptive Matching and Focal Convolution for Remote Sensing Small Object Detection
While convolutional neural network (CNN)-based methods for small object detection in remote sensing imagery have advanced considerably, substantial challenges remain unresolved, primarily stemming from complex backgrounds and insufficient feature representation. To address these issues, we propose…
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Journal Article
Study on Harmful Algal Blooms in the Waters Near the Yangtze River Estuary Based on Twin Satellites HY-1C/D COCTS Data
This study examined a novel harmful algal bloom (HAB) inversion model (HABI) using domestic Chinese ocean color and temperature scanner multispectral data from HY-1C/D satellites. The model achieves the dual capabilities of HAB presence detection and density quantification, a key advancement over…
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Journal Article
SFCFNet: A Spatial–Frequency Cross-Attention Fusion Network for Hyperspectral Image Classification
In recent years, the integration of convolutional neural networks and Transformers has significantly advanced hyperspectral image (HSI) classification by jointly capturing local and global features. However, most existing methods primarily focus on the fusion of spectral–spatial features while…
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Journal Article
Automated Extraction of 3-D Windows From MVS Point Clouds by Comprehensive Fusion of Multitype Features
Detecting three-dimensional (3-D) windows is vital for creating semantic building models with high level of detail, furnishing smart city and digital twin programs. Existing studies on window extraction using street imagery or laser scanning data often rely on limited types of features, resulting…
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Journal Article
A Multimodal Remote Sensing Method for Mangrove Species Classification Based on Sentinel-2 Imagery
Intertidal mangrove communities present significant challenges for remote sensing classification due to tidal dynamics, intertwining canopies, and spectral confusion between species. These factors often lead to classification errors and indistinct species boundaries, primarily due to intraspectral…
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