Consistency Center-Based Deep Cross-Modal Hashing for Multi-Source Remote Sensing Image Retrieval
Cross-modal hashing aims to retrieve similar images from large-scale Earth observation
(EO) data archives, which typically contain multiple satellite sources of remote sensing (RS) …
(EO) data archives, which typically contain multiple satellite sources of remote sensing (RS) …
Cross-Modal Hashing With Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval
Cross-modal hashing plays a pivotal role in large-scale remote sensing (RS) ship image
retrieval. RS ship images often exhibit similar overall appearance with subtle differences …
retrieval. RS ship images often exhibit similar overall appearance with subtle differences …
Innovative Rotating SAR Mode for 3D Imaging of Buildings
Three-dimensional SAR imaging of urban buildings is currently a hotspot in the research
area of remote sensing. Synthetic Aperture Radar (SAR) offers all-time, all-weather, high …
area of remote sensing. Synthetic Aperture Radar (SAR) offers all-time, all-weather, high …
MPT-SFANet: Multi-Order Pooling Transformer-Based Semantic Feature Aggregation Network for SAR Image Classification
The transformer-based methods have demonstrated remarkable advancements in synthetic
aperture radar (SAR) classification. Nevertheless, many of these methods ignore global …
aperture radar (SAR) classification. Nevertheless, many of these methods ignore global …
DSN-v2: Improving the Classification Ability to Man-made and Natural Objects in SAR Images
The traditional convolutional neural network (CNN)-based methods usually use the spatial
information in the amplitude of complex synthetic aperture radar (SAR) images. Several …
information in the amplitude of complex synthetic aperture radar (SAR) images. Several …
Sea Ice Segmentation From SAR Data by Convolutional Transformer Networks
Sea ice is a crucial component of the Earth's climate system and is highly sensitive to
changes in temperature and atmospheric conditions. Accurate and timely measurement of …
changes in temperature and atmospheric conditions. Accurate and timely measurement of …
[PDF][PDF] Muhammad Amjad IQBAL
RISARDEI REZOLUTIE - 2023 - researchgate.net
The radar acts as a primary and active sensor; it works regardless of weather conditions.
Synthetic aperture radar (SAR) and inverse SAR are vital for earth observation (EO) and …
Synthetic aperture radar (SAR) and inverse SAR are vital for earth observation (EO) and …