Results 121 to 130 of about 937,320 (261)

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation [PDF]

open access: yesarXiv
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  

The use of high altitude aerial photography to inventory wildlife habitat in Kansas: An initial evaluation [PDF]

open access: yes
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

Exploration Potential of Remote Sensing: ABSTRACT

open access: hybrid, 1964
William A. Brewer
openalex   +1 more source

Use of satellite images in the evaluation of farmlands [PDF]

open access: yes
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]

open access: bronze, 1973
E. Max North   +2 more
openalex   +1 more source

Remote Sensing For Water Resources And Hydrology. Recommended research emphasis for the 1980's [PDF]

open access: yes
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]

open access: yesarXiv
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  

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