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[HTML][HTML] SUNet: Change detection for heterogeneous remote sensing images from satellite and UAV using a dual-channel fully convolution network
Change Detection in heterogeneous remote sensing images plays an increasingly essential
role in many real-world applications, eg, urban growth tracking, land use monitoring …
role in many real-world applications, eg, urban growth tracking, land use monitoring …
[HTML][HTML] SSCNN-S: A spectral-spatial convolution neural network with siamese architecture for change detection
In this paper, a spectral-spatial convolution neural network with Siamese architecture
(SSCNN-S) for hyperspectral image (HSI) change detection (CD) is proposed. First, tensors …
(SSCNN-S) for hyperspectral image (HSI) change detection (CD) is proposed. First, tensors …
A multilevel pooling scheme in convolutional neural networks for texture image recognition
Convolutional neural networks have shown successful results in image classification
achieving real-time results superior to the human level. However, texture images still pose …
achieving real-time results superior to the human level. However, texture images still pose …
[HTML][HTML] Neural network-based urban change monitoring with deep-temporal multispectral and SAR remote sensing data
Remote-sensing-driven urban change detection has been studied in many ways for
decades for a wide field of applications, such as understanding socio-economic impacts …
decades for a wide field of applications, such as understanding socio-economic impacts …
[HTML][HTML] Object-oriented change detection method based on spectral–spatial–saliency change information and fuzzy integral decision fusion for HR remote sensing …
Spectral features in remote sensing images are extensively utilized to detect land cover
changes. However, detection noise appearing in the changing maps due to the abundant …
changes. However, detection noise appearing in the changing maps due to the abundant …
A 10-m resolution impervious surface area map for the greater Mekong subregion from remote sensing images
High-resolution and multi-temporal impervious surface area maps are crucial for capturing
rapidly develo** urbanization patterns. However, the currently available relevant maps for …
rapidly develo** urbanization patterns. However, the currently available relevant maps for …
Large-scale, multiple level-of-detail change detection from remote sensing imagery using deep visual feature clustering
In the era of big data, where massive amounts of remotely sensed imagery can be obtained
from various satellites accompanied by the rapid change in the surface of the Earth, new …
from various satellites accompanied by the rapid change in the surface of the Earth, new …
A new quality assessment method for airborne SAR images using point, edge and polygon targets
Accurate assessment and analysis of Synthetic Aperture Radar (SAR) image quality is
essential for improving image processing and application potential. To address the …
essential for improving image processing and application potential. To address the …
JPSSL: SAR Terrain Classification Based on Jigsaw Puzzles and FC-CRF
Effective features play an important role in synthetic aperture radar (SAR) image
interpretation. However, since SAR images contain a variety of terrain types, it is not easy to …
interpretation. However, since SAR images contain a variety of terrain types, it is not easy to …
[HTML][HTML] Fast unsupervised Multi-scale characterization of Urban landscapes based on Earth Observation Data
Most remote sensing studies of urban areas focus on a single scale, using supervised
methodologies and very few analyses focus on the “neighborhood” scale. The lack of multi …
methodologies and very few analyses focus on the “neighborhood” scale. The lack of multi …