DISTINGUISHING WEED FROM CROP PLANTS USING VIDEO REMOTE-SENSING

被引：0
|
作者：
RICHARDSON, AJ
MENGES, RM
NIXON, PR
机构：
[1] USDA, Agricultural Research Service,, Weslaco, TX, USA, USDA, Agricultural Research Service, Weslaco, TX, USA
来源：
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING | 1985年 / 51卷 / 11期
关键词：
AGRICULTURE - Remote Sensing - IMAGE PROCESSING;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Aerial video images were analyzed digitally using remote sensing image processing techniques to distinguish johnsongrass (Sorghum halepense left bracket L. right bracket Pers. ) and pigweed (Amaranthus palmeri S. Wats) plots from sorghum (Sorghum bicolor left bracket L. right bracket Moench), cotton (Gossypium hirsutum L. ), and cantaloupe (Cucumis melo L. ) plots. Results indicate that digital video images, using off-the-shelf remote sensing image processing techniques, can distinguish between homogenous weed and crop experimental plots. Thus, it seems feasible that video remote sensing may provide accurate near-real-time information on weed infestation amounts that are mixed within actual crop plant stands.
引用
收藏
页码：1785 / 1790
页数：6
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