Present Remote Sensing Image Retrieval (RSIR) systems use visual descriptors to characterize the primitives (such as various land-cover types) that are visible in the images. However, the visual descriptors are inadequate for defining the complicated content of RS images. To solve this problem, a...
The purpose of cross-modal retrieval is to obtain the result data in one modality (e.g., image) which is semantically similar to the query data in another modality (e.g., text). In the field of remote sensing, despite a great number of existing works on image retrieval, there has ...
This study proposes an end-to-end image description generation model based on word embedding technology to realise the classification and identification of Populus euphratica and Tamarix in complex remote sensing images by providing descriptions in precise and concise natural sentences. First, category amb...
We introduce remote sensing composed image retrieval (RSCIR), accompanied with PatterCom, a new benchmark dataset. We introduce WeiCom, a training-free method utilizing a modality control parameter for more image- or text-oriented results according to the needs of each search. ...
numbers.Image contrastis defined as the ratio of the maximum and minimum DNs in the image. Since many original remote-sensing images have poorly contrast, contrast enhancement is frequently referred to as one of the most important issues in remote-sensingimage processing. The main contrast ...
Sign in to download full-size image Fig. 8.Auto-classified tree crown polygons, surface drainage vectors, vegetation class LiDAR, orthophoto and wireframe 3D building vectors overlaid on LiDAR bare earth DEM. Courtesy of Terra Remote Sensing Inc. ...
remote sensing image, CAM uses the inter-channel relationship and SAM uses the features of different spatial locations, respectively. After acquiring the attention maps separately, the "residual structure" proposed by ResNet37was used to generate the refined feature map\({\text{F}}^{^{\prime}}...
Classification and identification of the materials lying over or beneath the earth's surface have long been a fundamental but challenging research topic in geoscience and remote sensing (RS), and have garnered a growing concern owing to the recent advancements of deep learning techniques. Although ...
Distinctive Order Based Self-Similarity descriptor for multi-sensor remote sensing image matching Amin Sedaghat, Hamid Ebadi Pages 62-71 Article preview select article Improved wide-angle, fisheye and omnidirectional camera calibration Research articleAbstract only Improved wide-angle, fisheye and omnidire...
Remote sensing image is photographed in complex environments, which not only includes light, viewpoint, and scale variant but also includes the influence of atmospheric and cloud cover, complex background, and similar ground environment. These disadvantages cause images blurring. The insufficient samples...