[HTML][HTML] Improving PRISMA hyperspectral spatial resolution and geolocation by using Sentinel-2: development and test of an operational procedure in urban and rural …
Hyperspectral (HS) satellites like PRISMA (PRecursore IperSpettrale della Missione
Applicativa) offer remarkable capabilities, yet they are constrained by a relatively coarse …
Applicativa) offer remarkable capabilities, yet they are constrained by a relatively coarse …
Relation changes matter: Cross-temporal difference transformer for change detection in remote sensing images
Thanks to their capability of modeling global information, transformers have been recently
applied to change detection (CD) in remote sensing images. Generally, the changes in …
applied to change detection (CD) in remote sensing images. Generally, the changes in …
Deep Learning in Remote Sensing Image Fusion: Methods, protocols, data, and future perspectives
Image fusion can be conducted at different levels, with pixel-level image fusion involving the
direct combination of original information from source images. The objective of methods …
direct combination of original information from source images. The objective of methods …
UAV image acquisition and processing for high‐throughput phenoty** in agricultural research and breeding programs
O Bongomin, J Lamo, JM Guina… - The Plant Phenome …, 2024 - Wiley Online Library
We are in a race against time to combat climate change and increase food production by
70% to feed the ever‐growing world population, which is expected to double by 2050 …
70% to feed the ever‐growing world population, which is expected to double by 2050 …
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection
Cloud detection is a pivotal satellite image pre-processing step that can be performed on
board a satellite to tag useful images. It can reduce the amount of data to downlink by …
board a satellite to tag useful images. It can reduce the amount of data to downlink by …
Spatial-spectral dual back-projection network for pansharpening
Deep unfolding networks have obtained satisfactory performance in the pansharpening task
owing to their sufficient interpretability. Inspired by the back-projection (BP) mechanism, we …
owing to their sufficient interpretability. Inspired by the back-projection (BP) mechanism, we …
ConvGRU-based Multi-scale Frequency Fusion Network for PAN-MS Joint Classification
As a hot research topic in remote sensing, effectively integrating the advantageous features
of multispectral and panchromatic images is the main challenge for fusing these two remote …
of multispectral and panchromatic images is the main challenge for fusing these two remote …
Multiscale spatial-frequency domain dynamic pansharpening of remote sensing images integrated with wavelet transform
Y Li, W **, S Qiu, Y He - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Pansharpening produces high-resolution multispectral (HRMS) images by enhancing the
high-frequency details in multispectral (MS) images, with deep learning (DL) methods …
high-frequency details in multispectral (MS) images, with deep learning (DL) methods …
Land use and land cover classification in the northern region of Mozambique based on landsat time series and machine learning
LS Macarringue, ÉL Bolfe, SG Duverger… - … International Journal of …, 2023 - mdpi.com
Accurate land use and land cover (LULC) map** is essential for scientific and decision-
making purposes. The objective of this paper was to map LULC classes in the northern …
making purposes. The objective of this paper was to map LULC classes in the northern …