ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation [PDF]
Instance segmentation algorithms in remote sensing are typically based on conventional methods, limiting their application to seen scenarios and closed-set predictions. In this work, we propose a novel task called zero-shot remote sensing instance segmentation, aimed at identifying aerial objects that are absent from training data.
arxiv
Determination of the Effective Imaginary Term of the Complex Refractive Index of Atmospheric Dust by Remote Sensing: The Diffuse-Direct Radiation Method [PDF]
B. M. Herman+2 more
openalex +1 more source
The use of high altitude aerial photography to inventory wildlife habitat in Kansas: An initial evaluation [PDF]
The use of aerial photography as a method for determining the wildlife conditions of an area is discussed. Color infrared photography is investigated as the most effective type of remote sensor.
Merchant, J. W., Waddell, B. H.
core +1 more source
Remote Sensing of Seasonal Distribution of Precipitable Water Vapor over the Oceans and the Inference of Boundary-Layer Structure [PDF]
C. Prabhakara+3 more
openalex +1 more source
Use of satellite images in the evaluation of farmlands [PDF]
Remote sensing techniques in the evaluation of farmland in Mexico are discussed. Electronic analysis techniques and photointerpretation techniques are analyzed.
Lozano H., A. E.
core +1 more source
RASS, a Remote Sensing System for Measuring Low-Level Temperature Profiles [PDF]
E. Max North+2 more
openalex +1 more source
Remote Sensing For Water Resources And Hydrology. Recommended research emphasis for the 1980's [PDF]
The problems and the areas of activity that the Panel believes should be emphasized in work on remote sensing for water resources and hydrology in the 1980's are set forth.
core +1 more source
Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification [PDF]
Remote Sensing Scene Classification is a challenging and valuable research topic, in which Convolutional Neural Network (CNN) has played a crucial role. CNN can extract hierarchical convolutional features from remote sensing imagery, and Feature Fusion of different layers can enhance CNN's performance.
arxiv
Aerial Photography of Multispectral Remote Sensing for Engineering Soils Mapping : Progress Report
Marc Tanguay
openalex +2 more sources