A combined loss-based multiscale fully convolutional network for high-resolution remote sensing image change detection
In the task of change detection (CD), high-resolution remote sensing images (HRSIs) can
provide rich ground object information. However, the interference from noise and complex …
provide rich ground object information. However, the interference from noise and complex …
RIFT: Multi-modal image matching based on radiation-variation insensitive feature transform
Traditional feature matching methods, such as scale-invariant feature transform (SIFT),
usually use image intensity or gradient information to detect and describe feature points; …
usually use image intensity or gradient information to detect and describe feature points; …
GNSS/INS-assisted structure from motion strategies for UAV-based imagery over mechanized agricultural fields
Acquired imagery by unmanned aerial vehicles (UAVs) has been widely used for three-
dimensional (3D) reconstruction/modeling in various digital agriculture applications, such as …
dimensional (3D) reconstruction/modeling in various digital agriculture applications, such as …
Illumination-robust remote sensing image matching based on oriented self-similarity
Establishing feature correspondences between different images is a key step in many
remote sensing applications. In this paper, a novel descriptor based on an extended self …
remote sensing applications. In this paper, a novel descriptor based on an extended self …
High-resolution image registration based on improved SURF detector and localized GTM
High-resolution image registration is an important task in remote sensing image processing.
In this paper, an automatic and robust local feature-based image registration approach is …
In this paper, an automatic and robust local feature-based image registration approach is …
Uniform competency-based local feature extraction for remote sensing images
Local feature detectors are widely used in many photogrammetry and remote sensing
applications. The quantity and distribution of the local features play a critical role in the …
applications. The quantity and distribution of the local features play a critical role in the …
Rotation‐invariant self‐similarity descriptor for multi‐temporal remote sensing image registration
In this paper, a novel approach for the registration of multi‐sensor remote sensing images
with substantial time differences is proposed. The proposed method consists of four main …
with substantial time differences is proposed. The proposed method consists of four main …
FORSAT: A 3D forest monitoring system for cover map** and volumetric 3D change detection
ABSTRACT A 3D forest monitoring system, called FORSAT (a sat ellite very high resolution
image processing platform for for est assessment), was developed for the extraction of 3D …
image processing platform for for est assessment), was developed for the extraction of 3D …
Co-registration and residual correction of digital elevation models: A comparative study
T Li, Y Hu, B Liu, L Jiang, H Wang… - The Cryosphere …, 2022 - tc.copernicus.org
Digital elevation models (DEMs) are currently one of the most widely used data sources in
glacier thickness change research, due to the high spatial resolution and continuous …
glacier thickness change research, due to the high spatial resolution and continuous …
Geolocation bias correction for CARTOSAT-1 stereo images through virtual ground control points generation over mountainous areas
N Tatar - Earth Science Informatics, 2025 - Springer
Abstract Rational Polynomial Coefficients (RPCs) are commonly used for georeferencing
satellite images. However, sometimes RPCs cannot accurately establish a ground-to-image …
satellite images. However, sometimes RPCs cannot accurately establish a ground-to-image …