Add to ORKGThe purpose of this paper is to present functions for interactive segmentation of agricultural fields on aerial images which were implemented in a specialized software package for remote sensing and environmental monitoring. The functions are based on GrabCut, Watershed, LiveWire and SLIC algorithms
Development of automatic methods for agricultural mapping and monitoring using remotely sensed image...
Monitoring and management of land use plays an important role in the economic development of agricul...
The dataset was created for the development and testing of the algorithm proposed in the paper "Segm...
Приведены описания функций интерактивного выделения границ сельскохозяйственных земель на ...
In this paper, a segmentation method for agricultural fields in aerial sequences of images based on ...
The segmentation of agricultural fields on aerial images is still a manual activity in most Geograph...
The recent trend in image classification of agricultural areas is towards the use of per-field appro...
Image processing in agriculture and forestry represents a challenge towards the automation of tasks ...
Segmentation of an image into individual tree crowns is a key step in the processing of remotely sen...
This paper suggests Image Processing tools for improved visualization and better analysis of remotel...
OBIA, based on image segmentation and as an important remote sensing monitoring technology, has been...
Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. Th...
Classification of the agricultural fields using remote sensing images is one of the most popular met...
Automatic mapping and monitoring of agricultural landscapes is an important research problem. In thi...
Purpose of the work: development of technological operating procedures with the contour information ...
Development of automatic methods for agricultural mapping and monitoring using remotely sensed image...
Monitoring and management of land use plays an important role in the economic development of agricul...
The dataset was created for the development and testing of the algorithm proposed in the paper "Segm...
Приведены описания функций интерактивного выделения границ сельскохозяйственных земель на ...
In this paper, a segmentation method for agricultural fields in aerial sequences of images based on ...
The segmentation of agricultural fields on aerial images is still a manual activity in most Geograph...
The recent trend in image classification of agricultural areas is towards the use of per-field appro...
Image processing in agriculture and forestry represents a challenge towards the automation of tasks ...
Segmentation of an image into individual tree crowns is a key step in the processing of remotely sen...
This paper suggests Image Processing tools for improved visualization and better analysis of remotel...
OBIA, based on image segmentation and as an important remote sensing monitoring technology, has been...
Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. Th...
Classification of the agricultural fields using remote sensing images is one of the most popular met...
Automatic mapping and monitoring of agricultural landscapes is an important research problem. In thi...
Purpose of the work: development of technological operating procedures with the contour information ...
Development of automatic methods for agricultural mapping and monitoring using remotely sensed image...
Monitoring and management of land use plays an important role in the economic development of agricul...
The dataset was created for the development and testing of the algorithm proposed in the paper "Segm...